Artificial Intelligence Archives - Page 11 of 15 - | ̽��Ƶ| ̽��Ƶ

“Giving Back is in Our DNA”: How AvePoint is Driving Social Change in the Tech Industry

Posted on by Kevin Briggs

(NASDAQ: AVPT) is the global leader in robust data management and governance with over 21,000 customers across the globe, helping them secure their collaboration environments across Microsoft, Google and Salesforce. Using AI, AvePoint enables organizations to modernize their digital workplace and improve data governance, enhancing productivity, collaboration and security. In addition to helping its customers thrive within their digital collaboration systems, AvePoint is dedicated to philanthropy, reflecting a core mission to drive positive change in the technology industry and their communities.

Internal and External Charitable Efforts

AvePoint’s philanthropy efforts reflect the company’s core values of diversity, equity and inclusion (DEI), with a focus on using technology to drive social impact. Recognizing the tech industry’s challenges with underrepresentation, , AvePoint supports groups like Girls Who Code to break stereotypes about women in technology. AvePoint also fosters change within the organization through like AvePoint Veterans, Black AvePoint Excellence, Women in Technology (WIT), Latinx and Queers and Allies (Q&A), all aimed at fostering inclusivity and providing a supportive environment.

AvePoint Driving Social Change in the Tech Industry Blog Embedded Image 2024

Community engagement is integral to AvePoint’s mission, with events designed to blend philanthropy and collaboration. For instance, Black AvePoint Excellence (BAE) hosts an for partners and customers, typically held around Juneteenth. Likewise, during Pride Month, AvePoint’s Queers and Allies group invited a guest speaker to discuss the significance of Pride Month and what the organization could do to be more inclusive and equitable both internally and externally. These events reflect AvePoint’s culture of integrating ongoing education and fostering empathy, so employees can better serve their communities, extending positive change outward.

Beyond internal efforts, AvePoint’s philanthropic events align with Public Sector initiatives by giving back to communities through local charities where events are held. These collaborations not only contribute to community needs but also highlight AvePoint’s commitment to giving back in meaningful, locally impactful ways.

Past contributions include:

At the 2023 National Association of State Technology Directors () Conference, AvePoint hosted a cornhole game, raising $2,500 for the Boston Children’s Hospital.
In 2023, at the in San Diego, California, AvePoint had two surfboards for attendees to decorate that were donated to the Groundswell Community Project.
AvePoint partnered with ̽��Ƶ at NASTD 2024 and held a mini-golf game, donating $5,000 to The Minneapolis Foundation.
Partnering with ̽��Ƶ for the second time, AvePoint hosted another mini-golf challenge at the 2024 Municipal Information Systems Association of California () Conference, raising $3,000 for Patriots and Paws.

AvePoint’s recent partnership with ̽��Ƶ’s Doing Good Team has enhanced these initiatives, particularly by streamlining charity verification and maximizing contributions. By combining resources, AvePoint and ̽��Ƶ can expand their philanthropic impact, support reputable charities and foster community support. AvePoint’s ongoing commitment to diversity, inclusivity and technological advancement drives these charitable efforts, aiming to make a lasting difference in the communities they serve.

A Culture of Support and Service

AvePoint’s philanthropic efforts are deeply influenced by CEO, Dr. Tianyi Jiang, who has prioritized giving back to the technology community throughout the company’s 23-year history. This commitment to social responsibility is exemplified by initiatives like a to mentor the next generation of engineers and entrepreneurs. This leadership-driven ethos resonates throughout the company, promoting charitable engagement at both organizational and individual levels, across the U.S. and globally.

Beyond organized company initiatives, AvePoint encourages employees to pursue their own charitable passions with a donation matching program to support causes that resonate personally with team members. Employees are also empowered to volunteer, with flexibility to balance work and service. AvePoint’s support for these independent initiatives illustrates how the company’s culture of giving is woven into its fabric, encouraging employees to contribute both professionally and personally.

AvePoint’s culture of giving is grounded in values that empower employees to engage in meaningful initiatives, both through company-supported efforts and personal causes. Leadership’s passion for community impact inspires employees at all levels to pursue organized and independent philanthropic efforts, always met with AvePoint’s encouragement and resources. As seen in examples across the organization, this culture of service is more than a formal policy—it is embedded in the company’s DNA, guiding AvePoint’s commitment to making a positive difference within and beyond the technology industry.

Explore the AvePoint culture of giving back on , and learn more about how the company supports the Public Sector with our award winning technology .

Exploring the Future of Healthcare with Generative AI

Posted on by Linda Chen

Artificial intelligence (AI) is an active field of research and development with numerous applications. Generative AI, a newer technique, focuses on creating content—learning from large datasets to generate new text, images and other outputs. In 2024, many healthcare organizations embrace generative AI, particularly in creating chatbots. Chatbots, which facilitate human-computer interactions, have existed for a while, but generative AI now enables more natural, conversational exchanges, closely mimicking human interactions. Generative AI is not a short-term investment or a passing trend, this is a decade-long effort that will continue to evolve as more organizations adopt it.

Leveraging Generative AI

When implementing generative AI, healthcare organizations should consider areas to invest in, such as employee productivity or supporting healthcare providers in patient care.

Key factors to consider when leveraging generative AI:

Use case identification: Identify a challenge that generative AI can solve, but do not assume it will address all problems. Evaluate varying levels of burden reduction across use cases to determine its value.
Data: Ensure enough data is available for generative AI to provide better services. Identify inefficiencies in manual tasks and ensure data compliance, as AI results depend on learning from data.
Responsible AI: Verify that the solution follows responsible AI guidelines and Federal recommendations. Focus on accuracy, addressing hallucinations where incorrect information is provided such as responses that are grammatically correct but do not make sense or are outdated.
Total cost of ownership: Generative AI is expensive, especially regarding hardware consumption. Consider if the same problem can be solved with more optimized models, reducing the need for costly hardware.

Harnessing LLMs for Healthcare

John Snow Labs Healthcare with Generative AI Blog Embedded Image 2024

Natural language processing (NLP) has advanced significantly in recent decades, heavily relying on AI to process language. Machine learning, a core concept of AI, enables computers to learn from data using algorithms and draw independent conclusions. Large language models (LLMs) combine NLP, generative AI and machine learning to generate text from vast language datasets. LLMs support various areas in healthcare, including operational efficiency, patient care, clinical decision support and patient engagement post-discharge. AI is particularly helpful in processing large amounts of structured and unstructured data, which often goes unused.

When implementing AI in healthcare, responsible AI and data compliance are crucial. Robustness refers to how well models handle common errors like typos in healthcare documentation, ensuring they can accurately interpret how providers write and speak.

Fairness, especially in addressing biases related to age, origin or ethnicity, is also critical. Any AI model must avoid discrimination; for instance, if a model’s accuracy for female patients is lower than for males, the bias must be addressed. Coverage ensures the model understands key concepts even when phrasing changes.

Data leakage is another concern. If training data is poorly partitioned, it can lead to overfitting, where the model “learns” answers instead of predicting outcomes from historical data. Leakage can also expose personal information during training, raising privacy issues.

LLMs are often expensive, but healthcare-specific models outperform general-purpose ones in efficiency and optimization. For example, healthcare-specific models have shown better results than GPT-3.5 and GPT-4 in tasks like ICD-10 extraction and de-identification. Each model offers different accuracy and performance depending on the use case. Organizations must decide whether a pre-trained model or one trained using zero-shot learning is more suitable.

Buy Versus Build

When it comes to the “buy versus build” decision, the advantage of buying is the decreased time to production compared to building from scratch. Leveraging a task-specific medical LLM that a provider has already developed costs a healthcare organization about 10 times less than building their solution. While some staff will still be needed for DevOps to manage, maintain and deploy the infrastructure, overall staffing requirements are much lower than if building from the ground up.

Even after launching, staffing requirements are not expected to decrease. LLMs continuously evolve, requiring updates and feature enhancements. While in production, software maintenance and support costs are significantly lower—about 20 times less—than trying to train and maintain a model independently. Many organizations that build their healthcare model quickly realize training is extremely costly in terms of hardware, software and staffing.

Optimizing the Future of Healthcare

When deciding on healthcare AI solutions, especially with the rise of generative AI, every healthcare organization should assess where to begin by identifying their pain points. They must ensure they have the data required to train AI models to provide accurate insights. Healthcare AI is not just about choosing software solutions; it is about considering the total cost of ownership for both software and hardware. While hardware costs are expected to decrease, running LLMs remains a costly endeavor. If organizations can use more optimized machine learning models for specific healthcare purposes instead of LLMs, it is worth considering from a cost perspective.

Learn how to implement secure, efficient and compliant AI solutions while reducing costs and improving accuracy in healthcare applications in John Snow Labs’ webinar “.”

Discover how can transform healthcare by providing real-time, accurate and compliant information to improve patient care and streamline operations.

Highlights from the SANS Government Security Forum on Zero Trust, CMMC Compliance and AI

Posted on by Steve Jacyna

̽��Ƶoration, a leader in Government IT solutions, partnered with the SANS Institute for the fourth year in a row to host the . The event gathered cybersecurity professionals and Public Sector leaders to address evolving cyber threats facing Government agencies. Experts led discussions on key topics, including Zero Trust implementation, achieving Cybersecurity Maturity Model Certification (CMMC) compliance and harnessing artificial intelligence (AI). This blog highlights key takeaways from three of the six sessions surrounding these imperative industry topics, providing actionable insights to strengthen cybersecurity defenses in today’s digital landscape. During the event a visual artist Ashton Rodenhiser summarized the sessions which are featured in this blog.

̽��Ƶ SANS Government Security Solutions Forum Blog Zero Trust Image 2024

Zero Trust Implementation

During the session “Zero Trust Implementation Strategies,” experts explored the growing challenges security professionals face with emerging technologies and provided key insights into building a robust Zero Trust framework.

As new technologies rapidly emerge, security professionals face increasing challenges in keeping pace, especially with the integration of on-prem environments and the cloud. A key principle of Zero Trust is the enforcement of least privilege policies, which requires a shift in how identity management is applied. This begins with strong governance to ensure the accuracy and reliability of policies and attributes.

Building a comprehensive security framework also involves implementing contextual authorization through micro-segmentation, considering factors like device, location and time to create a robust protective barrier. Furthermore, integrating identity management with Endpoint Detection and Response (EDR) tools is becoming increasingly important for tracking authorized processes and addressing the extended presence of threat actors who exploit admin identities to execute malware.

One of the biggest challenges in managing security policies is their complexity. Many security policies lack human readability due to their intricate structure, making automation essential for managing actions and enforcing compliance. The National Security Administration’s (NSA) recent Zero Trust guide emphasizes automation as a key pillar, highlighting its importance in responding to data flow deviations and maintaining security.

Despite the advanced systems in place, human error continues to be a major vulnerability. Employees can unknowingly compromise security through phishing attacks or by interacting with malicious links. To mitigate this, organizations must prioritize improving employee awareness and addressing the human factor as a critical component of cybersecurity.

Explore how ̽��Ƶ’s Zero Trust portfolio can help Government implement a comprehensive Zero Trust strategy, strengthening organization’s security and protecting critical assets.

̽��Ƶ SANS Government Security Solutions Forum Blog CMMC Image 2024

Achieving CMMC Compliance

The session “Navigating Supply Chain Security and CMMC Compliance” provided valuable insights into the upcoming implementation of the CMMC framework and its implications for Defense Industrial Base (DIB) organizations. This certification will ensure that DIB organizations meet stringent cybersecurity standards through third-party assessments and will soon be mandatory for both prime contractors and subcontractors working with the Department of Defense (DoD).

CMMC consists of multiple certification levels, with Level 1 covering basic practices for Federal Contract Information (FCI) and Level 2 addressing 110 practices based on NIST 800-171, extending to around 320 actions. To prepare, organizations should work with Registered Practitioner Organizations (RPOs) to assess their readiness. These RPOs employ Certified CMMC Professionals (CCPs) and Certified CMMC Assessors (CCAs), who are trained and certified by the Cybersecurity Assessor and Instructor Certification Organization (CAICO), a subsidiary of Cyber AB, which oversees the curriculum and training programs.

After preparation, organizations will undergo an official assessment by a CMMC Third-Party Assessment Organization (C3PAO), which hires CCPs and CCAs to evaluate the cybersecurity measures in place. As the CMMC rule takes effect, organizations must ensure they work with certified professionals listed on the Cyber AB marketplace, as uncertified entities will not be recognized by the DoD.

Given the complexity of CMMC and the fact that preparation for certification can take at least six months, organizations are encouraged to start early to meet the new requirements.

̽��Ƶ is proud to be part of the CMMC ecosystem, with around 800 employees focused on cybersecurity and partnerships with over 150 vendors. By closely tracking policies and industry trends, ̽��Ƶ aligns customer needs with relevant technologies, promoting “better together” integrations to maximize the value of existing investments. ̽��Ƶ works with vendors that address every CMMC maturity level and capability domain, guiding customers through the complex decision-making process to ensure that they select the most suitable technologies to fill security gaps effectively and efficiently. Explore ̽��Ƶ’s CMMC portfolio.

̽��Ƶ SANS Government Security Solutions Forum Blog AI Image 2024

Harnessing AI

Amid the complexities of cybersecurity, effective threat detection and response are increasingly reliant on advanced technologies like AI. The session “Harnessing AI for Advanced Threat Detection” explored the benefits and risks of integrating AI into security operations, highlighting key strategies for balancing automation with rigorous security practices.

“Advanced threat detection” spans various aspects of security operations, including the development and collection of threat intelligence. AI offers significant benefits in early threat detection, helping organizations quickly identify and respond to malicious activity. However, its use must be approached cautiously across the entire security chain.

With the rise of generative AI, industries are applying AI to automate time-consuming tasks. A key benefit is AI’s ability to condense information quickly. Tasks like threat searching or intelligence analysis, which once took hours, can now be completed in minutes, freeing experts to focus on higher-level tasks. This “toil reduction” is vital, as AI automates routine work and creates immediate efficiencies with minimal effort.

While AI brings advantages, there are inherent risks in implementing AI models and infrastructure. It is crucial to approach AI from two perspectives: using it to enhance security while ensuring the security of AI itself.

Organizations must also consider how they can trust AI-generated information. Trust and validation are essential. Provenance—knowing the source of data and models—is key to building confidence. While AI can handle most of the work, experienced engineers and analysts are still needed to verify and analyze the results so security teams can focus on more complex matters.

The siloed nature of work within security operations may limit intelligence sharing. Maintaining control of input data is critical, especially with public models hosted by technology vendors. If training data enters public models, organizations may compromise sensitive information. In regulated environments, private models offer safer options, allowing companies train AI while retaining control.

When integrating AI into security operations, organizations should build trust by validating each use case, allowing AI to be operationalized while ensuring accuracy. Experimentation is key to identifying where AI can provide a return on investment. However, implementing AI requires careful consideration of security models, AI safety and governance, particularly as organizations scale AI into operations.

Unlock the potential of AI to drive innovation and efficiency in Government organizations with ̽��Ƶ’s AI and machine learning portfolio.

, Federal CTO at SailPoint, and , Security Product Manager at VMRay, led the discussion on Zero Trust. , Interim Executive Director at The Cyber AB, provided guidance on navigating CMMC compliance. , Director of Managed Detection and Response at Uptycs, and , Managing Director of Mandiant Solutions at Google Public Sector, explored the role of AI in advanced threat detection.

Explore more insightful sessions on how Public Sector cybersecurity teams are strengthening their security posture by watching the in partnership with ̽��Ƶ.

Creating a Unified eLearning Environment to Deliver a Comprehensive Educational Experience

Posted on by Erik Crawford

What to Consider When Building a Unified eLearning Environment

The core components of a unified eLearning Environment are content creation, delivery of the information, and tracking the effectiveness of the training. Adobe provides a cohesive platform for organizations to succeed in all three phases of this process. The advantage of having these tools under one umbrella is that they work seamlessly together, so the focus can be on the training and not the technology behind it. In this post, we will look at what tools can be leveraged to create dynamic engaging content, how you can deliver that content in new and immersive ways, and where you can track and manage the effectiveness of the training in an easily digestible manner.

Creating Content that Drives Interactivity

Adobe Unified eLearning Blog Embedded Image 2024

The key to an exceptional eLearning experience is getting the learners to the keyboard and the screen. Interactivity helps mitigate multitasking and keeps the learner focused on the information being delivered. Developing your courses in Adobe Captivate allows you to add interactive elements like quizzes and branching scenarios where learners can make choices that affect the path of the lesson, providing a more personal training tool. Taking this development one step further, the virtual reality (VR) capability can create an immersive learning environment with a plethora of VR interactions that course designers can implement. Finally, adding responsive design to the courses ensures they look amazing. The content will adapt to various screen sizes, so the experience is optimal whether the learner is on a laptop, tablet, or phone. For more hands-on training, the software simulation element allows for creating tutorial-type content that learners can then emulate in a virtual mock-up environment to learn the skills demonstrated. Once the content is built it can be published directly to Adobe Learning Manager (ALM), Adobe’s LMS, for delivery and tracking. Driving interactivity captures the learners’ attention and thus leads to better information retention.

Next-Generation Virtual Classrooms Leveraging AI and Apps

Whether artificial intelligence (AI) is good or bad can be debated, but there is no doubt that it is here, and it will only get faster, more accurate, and grow in its capabilities. Adobe Connect has an app called that allows you to access AI in the chat during virtual classes. This allows hosts and presenters to instantly access information that may take several clicks to find in a search engine. Generative AI algorithms can help create new ways to spice up the virtual content through AI tools such as text (ChatGPT, Gemini, Sonnet), images (Adobe Firefly, Midjourney, DALL-E), and audio (Suno, Donna, AIVA). Text can be used to generate session outlines, quiz questions, polls, and slide structures. Images are great for virtual room backgrounds, slide deck visuals, and whiteboard exercises. Audio can be used as lobby background music, quiz music, or translated recordings. By combining these AI features with applications from the you create a fully immersive learning experience that goes way beyond screen sharing and whiteboarding. Mixing up media types when delivering virtual classroom training keeps the learner engaged and entertained.

Managing the Blended Learning Classroom

As organizations work on balancing in-office vs. remote workers, the blended learning experience for training is becoming the norm. Blended learning can present numerous challenges, like tracking attendance, utilizing breakout rooms, or taking quizzes. However, it can also provide opportunities, like having content that is always available via recordings, addressing learners who learn better synchronously vs. asynchronously or vice-versa, and cost-effectively training a globally dispersed audience. When you combine the power of Adobe Connect (Virtual Classrooms) and Adobe Learning Manager (Adobe’s LMS), there is now a single hub for all synchronous AND asynchronous learning. Seamless data exchange between the products allows for more accurate reporting to better measure the training’s effectiveness. A unified user experience for instructors and learners means that managing, scheduling, and accessing the blended learning courses can all be done in a straightforward easy-to-use platform.

The Love/Hate Relationship with a Learning Management System (LMS)

The complexity involved with setting up an LMS and managing it can be overwhelming. Adobe Learning Manager was designed specifically for enterprise delivery of courses in an easy-to-manage platform, with Admins and Learners in mind. The idea was to simplify the process with personalized learning paths, comprehensive learning tools, social learning, gamification, mobile accessibility, and certification/badging. Each learner has a dashboard to track their progress and see recommended courses. A calendar with automated emails and system notifications to help learners manage their schedules, and a home page with announcements to provide an easy way to share information. Gamification and social learning elements can be enabled to foster an engaging eLearning ecosystem, and connection to other eLearning tools allows it to serve as a one-stop shop for all learner training. With ALM, automated smart workflows for learning plans, content reusability, and detailed reporting help take the complexity out of managing an organization’s training program.

Additionally, if you or anyone you know would like to dive deeper into Adobe’s digital learning applications and how they can be applied to create exceptional hybrid learning experiences, watch the on-demand recordings from our 8-part webinar series, Advancing Unified Learning Environments, to learn from Adobe’s digital learning experts who will guide you through building an all-in-one learning environment, designing captivating training content, managing content and learners, and amplifying your message through engaging live virtual instruction and social learning experiences.

Access our on-demand recordings and presentation resources.

Democratizing AI: How Pre-trained Models Plus RAG Can Empower State and Local Agencies

Posted on by Nicole Fisk

Smaller state agencies need out-of-the-box options that solve immediate needs without a lot of funding or skilled machine learning expertise. Combining RAG with pre-trained LLMs and the agency’s own data accelerates development of AI capabilities and speeds time to value.

In my role at HPE over the last two years, I’ve had meetings with government agencies, defense departments, and research institutions around the world about AI. We’ve discussed everything from how to identify the right use cases for AI, to ethical concerns to getting a handle on the wild, wild west of AI projects across their organizations.

Some of these larger public sector organizations and government agencies have received funding from sources like the U.S. National Science Foundation, U.S. Defense Advanced Research Projects Agency (DARPA), the European Commission’s EuroHPC Joint Undertaking (EuroHPC JU), or the European Defense Fund, which has allowed them to develop AI centers of excellence and build end-to-end AI solutions. They have far-reaching goals — goals such as building the first large language model (LLM) for their native language, becoming the first sovereign, stable, secure AI service provider in their region, building the world’s most sustainable AI supercomputer, or becoming the world leader for trustworthy and responsible AI.

HPE Democratizing AI for SLG Blog Embedded Image 2024

But it takes a lot of resources to train an AI model. The infrastructure needed to train a foundational model may include��thousands of GPU-accelerated nodes in high performance clusters. Data scientists and machine learning (ML) engineers are also needed to source and prepare datasets, execute training, and manage deployment.

That’s why many agencies are looking for out-of-the-box options that bring rapid capabilities for solving immediate challenges. Many of these are state and local agencies and higher education institutions. They don’t have the same level of requirements, funding, or expertise to build their own LLMs.

So does that mean the door to powerful AI models is closed on smaller state and local agencies?

No — not if you can gain an understanding of the available pre-trained models that can generate value with AI immediately. There is so much that can be accomplished without ever training a model yourself.

Inference is AI in Action

What exactly is inference? It’s��the use of a previously trained AI model such as an LLM to make predictions or decisions based on new, previously unseen data.

Sound complicated? It’s just a fancy way of saying that you’re using an existing model to generate outputs.

In contrast with model training, which involves learning from a dataset to create the model, inference is using that model in a real-world application. Inferencing with pre-trained models��reduces both funding requirements as well as the amount of expertise needed��to deploy and monitor these models in production.

The pre-trained model market has been steadily growing, as have the number of cloud, SaaS, and open source inference options available. Open AI’s GPT-4o, Anthropic’s Claude, Google’s Gemini, and Mistral AI are among the most popular LLMs used for text and image generation. They’re��just some of the thousands of models available��through libraries like NVIDIA NGC and HuggingFace.

And just last month in Las Vegas, HPE also made an important of their new NVIDIA AI Computing by HPE portfolio of co-developed solutions. These solutions include HPE’s Machine Learning Inference Software (MLIS), which makes it easy to deploy pre-trained models anywhere including inside your firewall.

Pre-trained Models with Your Data

The advantages of running a pre-trained model with the right platform seem pretty clear — you get the capabilities without the costs of training. However, it’s important to note that a pre-trained LLM excels in general language understanding and generation but is trained on some data other than your own. This is great for use cases where broad knowledge is sufficient and the ability to generate coherent, contextually appropriate text are essential.

So what do you do if you need to generate more specific and up-to-date outputs? There is another machine learning (ML) technique called retrieval augmented generation (RAG) which combines the pre-trained LLM with an additional data source (such as your own knowledge base). RAG combines LLM capabilities with a real-time search or retrieval of relevant documents from your source. The resulting system works like an LLM that’s been trained on your data, but with even more accuracy. RAG is particularly useful for tasks requiring specific domain knowledge or recent data.

Improving Outcomes for State Agencies

Getting started with AI models begins with understanding which problem you want to solve and whether it is most efficiently and effectively solved with AI. Here are some ways different kinds of organizations can leverage pre-trained LLMs:

Law enforcement agencies��can use pre-trained models for incident reporting and documentation, to analyze crime data for predictive policing, or to analyze audio and video transcription for evidence management. They can improve community engagement through sentiment analysis and reduce administrative burdens through automated report generation.

Conversational AI can also make many types of��citizen services��more efficient and user-friendly — from permit applications to public query engines for local government agencies. And LLMs can automate document processing, reducing manual tasks for government workers and improving speed and accessibility of services to citizens.

LLMs can enhance the��education��experience for students and reduce the burden on teachers. AI-powered virtual assistants can provide tutoring and study support to students outside of school hours and assist researchers in conducting literature reviews by summarizing academic papers or extracting information.

As you consider leveraging pre-trained LLMs, think about the unique problems your agency or institution faces and how this approach could quickly solve those challenges without the need for extensive expertise or the burden and cost of training a model from scratch.

Final Thoughts

As the world and society evolves, the relationship between citizens and their governments, students and their teachers, will evolve too. In fact, they already are. Taking advantage of pre-trained models to solve long-standing automation issues or cumbersome documentation processes can give your organization the catalyst it needs to modernize to meet these new dynamics.

AI is being democratized by a growing number of pre-trained LLMs that are available off the shelf. And you don’t need to have complex data science skills to leverage them, just the right tools.

The door to AI is open for state and local agencies, regardless of size or sophistication. A part of my job is to understand the challenges and goals of public sector organizations of all sizes when it comes to AI.

To learn more about HPE Private Cloud AI, visit the and contact the HPE team for questions and comments.

This post originally appeared on��and is re-published with permission.

Top Upcoming 5G Events for Government to Attend

Posted on by Mark DeMerse

Secure Public Sector networks with 5G wireless technology delivers high-speed wireless connectivity, faster data rates and lower latency for systems and communities across the nation. This next-generation mobile network enables the expansion of virtual reality (VR) and the Internet of Things (IoT) solutions. While many successful use cases have recently emerged showcasing the power of 5G in Government, ̽��Ƶ partners are supporting agencies by providing powerful cellular networks and maintaining reliable mobile connections to achieve mission success without compromising security within workflows.

Explore more ways to leverage ̽��Ƶ and our partners through our various upcoming Government events. Learn about acceleration of real-time delivery from devices, increased adoption of AI and multiaccess edge computing technologies (MEC) and other innovations from leading 5G technology service providers.

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August 22 | Reston, VA

5G networks have become more common over the past few years. One study found that 5G’s worldwide share of mobile data traffic in 2021 was about 10% – but expected to grow to 60% by 2027. Government agencies are more selective when it comes to adopting 5G for their networks, partially due to higher costs associated with deploying such networks as well as unique requirements very large organizations such as the Department of Defense pose. Join thought leaders from Government and industry as they outline developments in 5G network rollouts at agencies and the ways 5G can be harnessed to open new opportunities to meet agencies’ various missions.

Sessions to look out for:

5G is at the Heart of CJADC2

5G’s Role in Modernization

The Future of 5G Technology in Government

̽��Ƶ is hosting this year’s 5G Summit alongside FedInsider, Cradlepoint, Nokia, Intel, T-Mobile, and Dell Technologies providing the latest management news from inside the Government.

August 27 | Bellevue, WA

̽��Ƶ Top 5G Events Blog Embedded Image 2024

Inaugurated in 2016, the Tech Experience has set out to create innovative and engaging experiences to inspire the industry to turn concepts into tangible, transformative solutions. The T-Mobile 5G Hub offers opportunities to meet with engineers, immerse in technology demonstrations and gain other valuable resources. At the event, hear directly from project partners about the successful projects crafted within the 5G Hub, explore video testimonials showcasing T-Mobile’s facilities, technology, expertise and partnerships, and get ready to participate in ample networking sessions.

̽��Ƶ partners AWS, Dell Technologies, Nokia, Ericsson, Microsoft, Google Cloud and Qualcomm will be featured at the 2024 T-Mobile Tech Experience.

September 19 | Reston, VA

ATARC, the Advanced Technology Academic Research Center, and ̽��Ƶ invite attendees to a day full of networking, innovation and collaboration within the world of federal mobility. At the Federal Mobility Summit, industry experts and leaders in Government will explore the latest trends and updates in mobile technology such as security, Zero Trust, acquisition, best practices and emerging solutions. Connect with peers and gain valuable insights into the future of mobility in the federal sector.

Sessions to look out for:

Securing Mobile Technologies: Identity, Zero Trust, and Threats

Navigating Mobile Acquisitions: Strategies and Best Practices

Next-Generation Networks: 5G, 6G, and Their Impact

Mission Enablement: Tools and Technologies for Success

̽��Ƶ is proud to host the Federal Mobility Summit at our office in Reston, Virginia and holds an ATARC membership, immersing further into the Federal IT community.

September 24 | Virtual

Open RAN, or Open Radio Access Network, is an evolving shift of industry standards and mobile architecture so that service providers can use equipment from multiple vendors while ensuring interoperability. The Open RAN Global Forum brings industry experts and Government together to delve into the latest updates for Open RAN including the role Open RAN will play in 6G, focusing on energy-efficient, AI-driven and customizable technology. Featuring interviews, live discussions and demos, attendees will learn more about adoption challenges and progress surrounding tier-one telecom operators’ roadmaps. Other key themes featured at this year’s event include examining the growth of AI and automation in RIC, exploring Open RAN economics and capitalization opportunities, testing and reducing energy consumption and more.

̽��Ƶ partners and mobile carries Verizon and T-Mobile will be featured at Open RAN GLOBAL FORUM.

October 8-10 | Las Vegas, Nevada

Prepare for the new era of hyperconnected business and smart cities or procure technology that can be deployed right now to make legacy systems and existing processes faster, easier and more resilient with industrial-grade 5G. At Mobile World Congress, explore technology themes like enterprise transformation, AI networks and 5G EdgeCloud with 5G leaders, architects and systems integrators, as well as CIOs from successful 5G enterprises, and discover how this technology can solve today’s biggest industry challenges.

̽��Ƶ partners Verizon, Qualcomm and Microsoft will be featured at this year’s MWC.

5G Round Table Webinar Series

October 3 & November 14 | Virtual

This fall, join us for two 5G Round Table sessions featuring real-world insights from Intel and T-Mobile. Hear from thought leaders from Government and industry outlining developments in 5G network rollouts at agencies and the ways 5G can be harnessed to open new opportunities to meet agencies’ unique missions.

̽��Ƶ will be hosting this event alongside FedInsider. CPE credits will be provided for qualified participants.

November 18-22 | Denver, CO

Full adoption of network automation is a continuous challenge for the mobility community that innovators at AUTOCON 2 hope to discover a solution for. The first, single, in-person event was a foundational moment for collaborators to advance the state of automated network operations. Now, the founders of the event are working to grow AutoCon into a recurring series of practitioner-focused events. This fall’s event will feature informational conference sessions, workshops and networking opportunities.

̽��Ƶ partners Nokia and Arista will be featured at AUTOCON 2.

̽��Ƶ’s 5G Podcast Series

Multiple Events | Virtual

̽��Ƶ’s podcast series dives into the world of 5G technology solutions, featuring expert insights from industry leaders. Explore sessions on the strategic advantages and key technologies for 5G, relevant applications of 5G for Federal, State and Local Governments and specific agency use cases such as the transformative success stories, learning curves and future objectives of 5G for the Department of Defense. Don’t miss out on this opportunity to impact the power and possibilities of 5G technology.

To learn more or get involved in any of the above events please contact us at 5G@carahsoft.com. For more information on ̽��Ƶ and our industry leading Cybersecurity technology partners’ events, visit our 5G Solutions Portfolio ��Ի� 5G Events page. 

The Top Healthcare IT Events to Watch for in 2024

Posted on by Tim Boltz

From artificial intelligence (AI) to predictive analytics, edge computing, and beyond, healthcare organizations have access to a wealth of technologies that can help improve patient care and clinical performance—and there are many more tools on the horizon. This year’s healthcare IT conferences will be full of valuable insights about how these solutions can lead to better patient outcomes while helping organizations overcome some of the industry’s biggest challenges, including cybersecurity threats, staffing shortages, budget constraints, and more.

Here’s a list of the top healthcare IT events that ̽��Ƶ recommends you check out in 2024. We’re looking forward to seeing you!

August 12 – 15, Louisville, KY

The Medicaid Enterprise Systems Community (MESC) is a national conference and community for state, federal, and private sector individuals to come together and exchange ideas related to Medicaid systems and health policy affected by those systems. This year’s conference will include a track focused on the relationship of the Medicaid program to healthcare IT, with discussions on using data to improve outcomes, the Trusted Exchange Framework and Common Agreement (TEFCA), Medicaid claims and health information exchange (HIE) integration, and more.

Visit the ̽��Ƶ booth #542 and check out a speaking session from Rob Courtney, Healthcare CTO at ̽��Ƶ, on August 13^th at 3pm.

August 16, ̽��Ƶ Conference & Collaboration Center, Reston, VA

We’re thrilled to host this year’s GovExec Health Summit and welcome some of the top voices from both industry and government. This event will bring together healthcare leaders to discuss the tools and strategies they’re using to improve our nation’s healthcare system. They’ll share best practices, reveal their biggest challenges, and talk about the technologies and tactics they’re employing to make healthcare more secure, equitable, affordable, and available to all.

Sponsorships of this event are currently open to ̽��Ƶ vendors. Contact healthcaremarketing@carahsoft.com for more information.

September 5 – 6, Boston, MA

HIMSS AI in Healthcare Fall Forum will cut through the AI hype with a comprehensive showcase of real-world examples illustrating the transformative potential of the technology across the healthcare continuum. You’ll learn best practices from industry peers and experts, learn how they use AI to overcome challenges and make their organizations smarter and more efficient, and glean actionable insights that you can use in your own healthcare setting.

̽��Ƶ is a proud sponsor of this year’s Healthcare Fall Forum and excited to share that our partner, SolarWinds, will be speaking at the event and showcasing at a kiosk.

September 19, Bethesda, MD

Federal health IT leaders will converge at this year’s GovCIO Summit to discuss the latest developments in public health technology, including electronic health records modernization, emerging technology investments, data interoperability and sharing, and more. As always, the main focus will be on how organizations can run faster and better so they can deliver better services to customers.

Visit some of ̽��Ƶ’s top vendors, including Leidos, ServiceNow, Snowflake and Splunk, to discover how their latest innovations are helping healthcare agencies achieve their mission of providing better and more efficient services to the public. ̽��Ƶ is also looking forward to celebrating the winners of the .

October 31 – November 1, Washington, DC

Healthcare remains one of the most targeted sectors for cybersecurity threats. This year’s HIMSS Cybersecurity Forum will be focused on the tactics needed to combat increasing cybersecurity threats had on, providing best practices for organizations to proactively shield ever-expanding digital footprints. Discussions will center on the latest technologies available to protect data inside and outside enterprise walls.

̽��Ƶ is a proud partner of this year’s Fall Forum and will share exclusive offers with the company’s partner network ahead of the event.

October 31 – November 2, Nashville, TN

The Health Innovation Summit brings together leaders across the healthcare ecosystem to connect with innovators who are advancing healthcare quality through AI, data solutions, and more. This year’s conference will feature more than 60 sessions on topics centered around the themes of Equity, Digital Quality, Behavior Health, and Value-based Care.

Meet with ̽��Ƶ representatives at the Summit and learn how our partners can help your organization meet its IT goals.

November 5 – 8, San Diego, CA

The College of Healthcare Information Management Executives—CHIME—will host its annual Fall Forum, where digital health leaders will brainstorm, problem-solve, and develop initiatives to advance healthcare using the latest tools and resources. This year’s event will include new tracks featuring “Elite Exchanges” with top healthcare IT experts, the “Visionary Voices” of innovation leaders in the field, and even a CHIME Fun Run and Yoga Class.

̽��Ƶ is holding a focus group, hosted by Lawrence Stowers, Senior Business Development Manager, with one of our vendor partners.

Learn More About Previously Held Events:

229 Project CIO Roundtables

June 27 – 29, Napa, CA

229 Project CIO events are small gatherings of healthcare IT leaders who convene to discuss innovative solutions to the industry’s greatest challenges. This year the 229 Project will host a series of CIO Roundtables. ̽��Ƶ will be there as part of our new and growing partnership with This Week Health, the organization behind the 229 Project.

Meet ̽��Ƶ executives and learn about how technologies like AI, cloud computing, data analytics, and others are helping healthcare organizations deliver better patient care. ̽��Ƶ is also offering sponsorship opportunities to interested vendors. Contact healthcaremarketing@carahsoft.com for more information.

Healthcare has undergone a lot of change over the past couple of years, and this year promises to be no different. New challenges require new strategies and technologies, and each of these events will deliver both. You’ll discover new solutions that will help your agency improve and modernize its service offerings to meet the needs of the moment while driving toward the future.

Please contact us at healthcaremarketing@carahsoft.com to learn more or to get involved in these events. For more information on ̽��Ƶ and our industry leading healthcare IT solutions, visit our Healthcare portfolio, and for more about ̽��Ƶ events, visit our Government Events page.

Socure, Okta, and ̽��Ƶ: Pioneering a New Era in Government Identity Verification

Posted on by Jeff Shultz

Digital-first experiences are a top priority across every level of government to improve service delivery, simplify user experiences, and rebuild trust with the American public. At the same time, agencies must defend against ever-present threats of identity theft, fraudulent accounts, and account takeovers. That’s why advanced digital Identity verification and strong authentication are essential for modern government services.

At Socure, we are excited to announce a transformative partnership with Okta and ̽��Ƶ., which marks a significant advancement in our mission to enhance digital identity verification across the public sector. This collaboration aims to deliver a FedRAMP & StateRAMP compliant identity solution, ushering in a new era of security and efficiency for federal, state, and local government agencies.

Socure Okta Partnership Identity Management Blog Embedded Image 2024

The integration of Socure’s cutting-edge artificial intelligence and machine learning-enabled ID+ platform with Okta’s adaptive multi-factor authentication, best-in-class compliance and security features, and modern, frictionless cloud infrastructure creates a powerhouse capable of addressing some of the most pressing challenges faced by government agencies today—especially in its efforts to combat sophisticated identity fraud. Our joint solutions now offer government agencies at all levels scalable, simple, and secure identity solutions built for the modern era. Achieving accurate and inclusive digital identity verification is critical to accelerating government service delivery for vital programs.

Digital transformation in government services is not just about upgrading technology—it’s about ensuring that these technologies offer secure, seamless, and inclusive access to the public. This is where our partnership becomes crucial. Socure’s ID+ platform, recognized for its high accuracy and inclusivity in identity verification, complements Okta’s expertise in secure access and adaptive multi-factor authentication. Together, we are setting new standards for what digital interactions in the public sector should look like.

Our joint solution provides government agencies with tools that are not only top-notch in security but also designed to enhance the user experience. By reducing friction and simplifying processes, we make it easier for the public to access vital services, from social benefits to healthcare, without compromising on security. This approach helps to build a stronger, more trusting relationship between the government and the public, which is essential in today’s digital age. We recently produced a joint webinar in which you can listen to the recording here.

For example, Socure’s predictive analytics platform goes beyond traditional identity checks by analyzing a broad range of data points, from physical documents to digital footprints. This allows for real-time verification that is both thorough and efficient. Okta’s Universal Directory and Adaptive Multi-Factor Authentication add another layer of security, ensuring that only legitimate users can access sensitive information.

At a time when digitizing benefits delivery is needed to reach large subsets of the population and bolstering public trust in government services is paramount, these solutions work together to provide key benefits, including:

Auto-approval of more eligible individuals (98% for mainstream populations and up to 94% for hard-to-identify populations, including Gen Z, millennial and new-to-country individuals)
More effective fraud prevention, capturing 90% of third-party identity fraud in the riskiest 3% of users
Reduction of manual reviews with fully automated identity verification and fraud prevention, with a response in milliseconds
Fast time-to-value with easy, secure connections across a variety of applications and on the cloud
Comprehensive approach to security with audited infrastructure and process
Reduction of the burden of password management with simple, passwordless MFA options
A variety of flexible authentication options that nearly everyone can use

By pooling our capabilities, we will help reduce the cost, burden, and friction generated by today’s pervasive attacks and deliver a better consumer experience without making it harder for people to interact with government services.

Watch our webinar to learn more about how successfully verifying identity requires a multi-layered approach.

Google and Okta Partner to Modernize Identity Management in Higher Education

Posted on by The ̽��Ƶ Team

Online collaboration is an essential part of the workplace and the educational sphere. To ensure this collaboration is done securely, Okta and Google have partnered to enhance and automate identity management at scale.

Okta is a neutral, AI powered, extensive platform that puts identity at the heart of any IT stack. No matter the industry, use case or level of support needed, Okta facilitates Identity Access Management (IAM) while keeping security at the core of the integration. Google Workspace is a collection of collaboration tools, and with more than three billion users, it aims to meaningfully connect users to facilitate partnerships and growth. While identity management can be complex, it does not need to be. Together, this partnership makes the path towards modern identity management as neutral, simple, secure and straightforward as possible.

With their recent partnership, customers can now:

Automate identity processes at scale
Unlock productivity with optimal security
Collaborate with each other, seamlessly and securely
Use their Google credentials across over 7,500 different apps
Gain cross-platform login privileges across Google Workspace and Okta
Access accounts with new, simplified user permissions and automated access management

Every organization strives to modernize and adopt cloud technology. This is also true within the higher education market, which is continuing to refine the trend of remote and hybrid learning following the pandemic. The applications and resource solutions that Google provides to higher education, along with the integration of Okta’s IAM capabilities, is immensely beneficial to the agency’s journey in adapting modern cloud technology and security.

Leading the Modernization of Identity Management in Education

Okat Google Higher Education Partnership Blog Embedded Image 2024

With the influx of hybrid and online learning, higher educational institutions are still learning how to orient solutions towards online learning and teaching. From an IAM perspective, higher education is one of the most complex environments with regards to the vast array of users. Within one network, an institution has faculty, staff, professors and a yearly lifecycle of students that range from applicants to alumni. The process of onboarding and offboarding students and faculty can be time consuming and requires multiple digital programs to facilitate. Okta provides a frictionless onboarding and offboarding experience for administrations that deal with changes in the student body. There are also external users such as partners, contractors and subcontractors, such as medical centers and food providers, that universities must consider. Okta’s open, neutral and independent identity platform can integrate with technologies commonly used by institutions, such as Enterprise Resource Planning (ERP) and Student Information System (SIS), allowing universities to build off of software they are already using. Depending on the role of the individual accessing the software, the identity gains access to personalized experiences.

Okta offers the capability to combine and manage various groups and processes in a single, secure platform. The partnership between Okta and Google enhances the student experience from their perspective, too. Okta’s single platform can solve student-specific challenges, such as managing multiple accounts and logins across an array of learning tools, enabling smoother daily operations and access. With cross platform log in, students can securely access Google Chatroom and Classroom features with IAM capabilities. By implementing Google Cloud capabilities into daily functions, higher education institutions can create a more modern experience for students while reducing costs. For example, artificial intelligence (AI) virtual agents are used to answer student questions and direct them to services, and mobile apps are utilized for mental health check-ins and other well-being services.

How Okta and Google uphold Zero Trust and Cybersecurity

Identity is one of the key pillars within the Cybersecurity and Infrastructure Security Agency (CISA)’s Zero Trust Architecture (ZTA). Okta upholds Zero Trust principles by ensuring that through methods such as multi factor authentication, the person gaining access is who they say they are. By only allowing access to devices that are up to date, Okta prevents bad actors from hacking older systems with commonly known security vulnerabilities. By sustaining a strong ZTA baseline, Google and Okta establish a secure experience for students, staff and faculty.

Okta gives customers a neutral, powerful and extensible platform that puts identity at the heart of information technology (IT) stacks. No matter what industry, use case or level of support is needed, Okta has customers covered. Okta and Google integrate with technology partners, alliance partners and vendors to uphold and exemplify security principles. In doing so, they ensure that every user on campus networks are safe and secure.

To learn more about Okta and Google’s partnership and the benefits to cloud and IAM security, visit the ̽��Ƶ-hosted webinar on the company’s newfound partnership:

Contact our Okta solutions experts today to discover the power of Okta and Google together, and how these industry leading organizations can support your higher education initiatives.

Generative AI: Improving Efficiency for SLED Agencies

Posted on by Kyle Black

Users in the new age engage with generative AI like a personal assistant, granting it access to their personal calendars and assigning it tasks such as making dinner reservations to make life easier. On the professional level, employees turn to AI to expedite difficult or repetitive tasks to make their work easier. By educating employees on the security ramifications of generative AI, and by properly implementing it into their agency, State and Local Government and Education Market (SLED) decision makers can accelerate and improve their day-to-day processes.

Updated Security Parameters

When it comes to sensitive data, agencies and individuals should always maintain a broad scope of vigilance. With generative AI, agencies need to consider who has access to that information, and which adversaries may potentially exploit that information.

Broadcom Generative AI Blog Embedded Image 2024

Employees should be trained to spot red flags and use AI safely. With the increase in deep fakes, such as voice masking or impersonation, employees need to be able to spot suspicious phone calls and videos. With proper training to detect and report these instances, employees can help prevent hacking attempts. It is difficult to prevent employees from using generative AI, even in specific scenarios where sensitive data is present. Agencies should make the switch to sanctioned vendors, granting them access to fully tracked logs. It is critical to prevent sensitive information from passing into public AI, where it will be shared with others.

By design, AI is a black box. While agencies and users can not know what goes on between input and output, they should only trust generative AI packages that have dependable service hosts. Agencies, especially SLED agencies that handle sensitive information, need to be guaranteed that their data will remain contained by reliable parent companies. By negotiating through contracts vehicles, agencies can maintain visibility over the flow of data by learning if their information is being retained and for how long.

Saving Time with Generative AI

Some of the first generative AI models were built for translation machines such as Google Translate. Many services, such as Zoom, employ generative AI as plugins, which transcript language in real time for the appropriate audience.These models initially generated very verbatim translations, however, intent and context in communication is critical. Users often go to third party generative AI models to translate emails or web pages. They have more trust in their automation capabilities to understand and mirror context and intent in translation than the built-in translation services that many legacy software features offer.

Generative AI can help with drafting emails, broadcasting information, meeting deadlines and responding to agents, ultimately expediting processes. This can be especially helpful with overworked translators. While generative AI works to complete the main translations, the workers can focus on reviewing translations, expediting and perfecting the process. While there will ultimately always be a need for human interaction from a promotional, proofreading and understanding perspective, generative AI can speed up communication.

Generative AI can reduce the number of steps users take. By leading users from step A to step C, bypassing the difficult or time-consuming step B, generative AI keeps users on track. And for models trained on a SLED agency’s own data, users can always reference internal documents if questions arise. This scales back on the amount of busy work, reducing time spent on finding information. Generative AI can also expedite the synthesis of search data. In the past, search engines could locate documents for agencies. Now, agencies going through SLED records can not only find the document itself, but find the information within the document, and analyze that information before returning it to the user.

By accelerating the day-to-day tasks of employees, generative AI frees up creative minds to complete more vital, thorough and intricate projects, improving utility.

AI has been integral to Broadcom’s product solutions in user and enterprise IT. When properly implemented, generative AI can enhance technology, cybersecurity, analytics and productivity. To learn more about how Broadcom can help implement secure generative AI in SLED spaces, view Broadcom’s SLED focused cybersecurity solutions.