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Common Pitfalls That Keep Projects From Taking Off

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The promise of AI in the world of tax is compelling: streamlined compliance, predictive insights, and newfound efficiency. Yet for all the enthusiasm, many tax departments find their ambitious AI projects grounded before they ever reach cruising altitude. The reasons for this often have less to do with the technology itself and more to do with the realities of data, people, and processes.

Starting Smart, Not Big

The journey from understanding AI concepts to actually implementing them is where the first stumbles often occur. A common misstep is starting too big. Tax leaders sometimes try to redesign entire processes at once, hoping to deliver an end-to-end transformation right out of the gate. The result is usually the opposite: projects drag on, resources are stretched thin, and momentum is lost.

Another common trap is picking the wrong first project, jumping straight into high-stakes initiatives that require heavy integrations, while ignoring smaller wins like data extraction. The safer bet is to start with a narrow, low-risk pilot like automating some spreadsheet workflows. It’s the kind of pilot you can complete in a month or two, and if it doesn’t work out, nothing’s lost and you simply fall back on your manual process.

There’s also a tendency to focus on the tool instead of the outcome. AI gets a lot of attention, and some teams feel pressure to use it even when a simpler automation approach would do the job. The label “AI-powered” shouldn’t matter as much as whether the solution solves the problem effectively.

In short, the common mistakes are clear: trying to boil the ocean, chasing perfection too soon, or letting the hype around AI dictate decisions. The smarter path is to start small and scale thoughtfully from there.

Too Many Projects, Not Enough Progress

With all the buzz around generative AI, many tax teams fall into the trap of running pilot after pilot. For example, a tax team might launch pilots for AI-driven invoice scanning, chatbot support for tax queries, and predictive analytics for audit risks. Each pilot sounds promising, but with limited staff and budget, none of them gets the attention needed to succeed. Six months later, the team has three unfinished projects, no live solution, and a frustrated leadership asking why AI hasn’t delivered. This flurry of activity creates the illusion of progress but results in a trail of half-finished experiments.

This “pilot fatigue” often comes from top-down pressure to be seen as innovating with AI. Leaders want momentum, but without focus, the energy gets diluted. Instead of proving value, the department ends up with scattered efforts and no clear win to point to.

The way forward is prioritization. Not every idea deserves a pilot, and not every pilot should move ahead at the same time. The most successful teams pick a few feasible projects, give them proper resources, and see them through beyond the prototype stage. In the end, it’s better to have one working solution in production than a stack of unfinished experiments.

From Prototype to Production

A common stumbling block for tax teams is underestimating the leap from prototype to production. Some estimates place the AI project failure rate as high as 80%, which is almost double the rate of corporate IT project failures. Building a proof of concept in a few weeks is one thing but turning it into a tool people rely on every day is something else entirely. This is where many AI projects stall and why so many never make it beyond the pilot stage.

The problem usually isn’t the technology itself. It’s the messy reality of moving from a controlled demo into a live environment. A prototype might run smoothly on a clean sample dataset, but in production the AI has to handle the company’s actual data that may be incomplete, inconsistent, or scattered across systems. Cleaning, organizing, and integrating that information is often most of the work, yet it’s rarely factored into early pilots.

Integration poses another challenge. A model that runs neatly in a Jupyter notebook isn’t enough. To be production-ready, it must plug into existing workflows, interact with legacy systems, and be supported with monitoring and error handling. That typically requires a broader team of engineers, operations specialists, even designers. These are roles many tax departments don’t have readily available. Without them, promising pilots get stuck in limbo.

The lesson is simple: tax teams need to plan from day one for data readiness, system integration, and long-term ownership. Without that preparation, pilots risk becoming one-off experiments that never make it past the demo stage.

Building on a Shaky Data Foundation

AI projects succeed or fail on the quality of their data. For tax teams, that’s often the first and toughest hurdle. Information is spread across different systems, stored in inconsistent formats, and sometimes incomplete. In many cases, key details are still buried in PDFs or email threads instead of structured databases. When an AI model has to work with that kind of patchy input, the results are bound to be flawed.

The unglamorous but essential part of AI is cleaning data and building reliable pipelines to feed information into the system. It’s rarely the exciting part, but it’s the foundation and without it, no model will perform consistently in production. The challenge is that, in the middle of all the AI hype, executives are often more willing to fund the “flashy” AI projects than the “boring” data cleanup work that actually makes them possible.

The takeaway is simple: treat data readiness as a core step in your AI journey, not an afterthought. A few weeks spent getting the data right can save months of wasted effort later.

Automating a Broken Process

A common pitfall for tax teams is dropping AI into processes that are already complex or inefficient. Automating a clunky workflow doesn’t fix the problems but it just makes them harder to manage.

AI adoption isn’t about layering a shiny new tool on top of old habits. It’s about rethinking the process as a whole. If AI takes over Task A, then Tasks B and C may need to change too. Reviewing the process upfront makes it easier to spot redundancies and cut steps that no longer add value.

The takeaway is simple: don’t just automate what you already do. Use AI as a chance to simplify and modernize. Otherwise, you risk hard-wiring inefficiency into the future of your operations.

The Trap of 100% Accuracy

Tax professionals are trained to value precision, so it’s no surprise many are reluctant to trust an AI tool unless it delivers flawless answers. The problem is, that bar is unrealistic with generative AI. These systems don’t “know” facts the way a database does. They predict words that are statistically likely to follow each other, which makes them great at generating fluent text but prone to confident-sounding mistakes, often called hallucinations.

Tax leaders need to understand this isn’t a bug that will soon be patched. It’s the nature of how these models work today. That doesn’t mean they’re unusable, but it does mean the goal shouldn’t be perfection. Instead, the focus should be on managing the risks and setting up safeguards that make AI outputs reliable enough for practical use.

On the technical side, tools like retrieval-augmented generation (RAG) can help by grounding AI answers in trusted documents instead of letting the model make things up. On the process side, though, there’s no way around human review. If the output involves regulations, case law, or financial figures, a qualified professional still needs to check it.

The real shift is in how we think about AI. Waiting for a system that’s 100% accurate isn’t realistic. The smarter approach is to design workflows where AI handles the heavy lifting and humans handle the judgment calls. When you set it up that way, AI doesn’t have to be perfect but reliable enough to speed things up without taking control out of human hands.

The Human Side of AI

For all the talk about data and algorithms, one of the biggest obstacles to AI adoption in tax departments may be people. Employees often view new technology as a threat, either to their jobs or to the way they’ve always worked. Fear of being replaced, or simple distrust in an unfamiliar tool, can stall an AI initiative before it even begins.

AI projects are often pitched as a way to save time and reclaim capacity by shifting people from repetitive, low-value tasks to higher-impact “strategic” work. In theory, that sounds ideal. But here’s the reality: not everyone naturally transitions from manual tasks to strategic ones. Can every compliance specialist suddenly become an advisor? Does the company actually need five more people in strategic roles instead of five handling tax filings?

When a department frees up dozens of hours of compliance work, there has to be a clear plan for how that capacity will be redeployed. Without one, employees are more likely to see AI as a threat than as a tool that supports them. For adoption to succeed, teams need to believe the technology will make their work more valuable and not make their roles redundant.

Pragmatism Over Hype

The promise of AI in tax is real but so are the pitfalls. Projects rarely stumble because the technology is broken. They stumble because of human, process, and data challenges that get overlooked.

Starting too big. Spreading resources across too many pilots. Ignoring data quality. Clinging to inefficient processes. Chasing perfection. Failing to bring people along. Any one of these can stall progress.

The way forward isn’t about shiny labels but about small wins that build trust and momentum. And it’s about shifting expectations. For tax departments, success won’t come from doing everything at once. It will come from doing the right things, in the right order, with the right support.

The opinions expressed in this article are those of the author and do not necessarily reflect the views of any organizations with which the author is affiliated.



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Workday acquires Sana Labs for $1.1B to upgrade agentic AI work experiences

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Human resources and finance software giant Workday Inc. today announced the acquisition of Sana Labs AB, an artificial intelligence company offering enterprise knowledge and employee training tools, for about $1.1 billion.

Workday also announced new AI agents for HR, finance and industry use cases in its Illuminate platform alongside a new developer platform, including a low-code agent builder that will allow customers to deploy custom AI agents.

Founded in 2016, Sana has focused on developing AI tools to enhance the knowledge and understanding of employees in enterprises. The company’s main products include Sana Learn, a coaching and feedback tool featuring an AI tutor, and Sana Agents, AI-powered knowledge assistants that generate insights and content from enterprise data.

“Sana’s team, AI-native approach, and beautiful design perfectly align with our vision to reimagine the future of work,” said Gerrit Kazmaier, president of product and technology at Workday. “This will make Workday the new front door for work, delivering a proactive, personalized, and intelligent experience that unlocks unmatched AI capabilities for the workplace.”

Sana Learn will be used to complement Workday Learning by adding hyper-personalized skill building to Workday’s already existing learning suite to help employees train faster. Sana Agents provide capabilities beyond traditional chatbots by adding the ability to automate repetitive knowledge tasks and act proactively on users’ behalf. AI agents can streamline day-to-day work by completing mundane tasks such as scanning email for highlights and catching up on reports.

According to Sana, its agents have led to increased time savings and productivity gains. For instance, an unnamed leading American manufacturer achieved up to 95% time savings, while a multinational industrial technology company experienced a 90% increase in productivity.

Workday upgrades its AI agents and work tools

In addition to today’s acquisition news, Workday also announced new AI agents, including a Financial Close Agent and Case Agent, purpose-built for complex business processes like performance reviews, planning and assisting with financial use cases.

The new agents are part of Workday Illuminate, Workday’s AI platform. The company said the new agents are “purpose-built for work,” embedded with their respective industry use cases and powered by deep insights into business data and context.

The company’s new HR agents are designed to help reduce the administrative burden associated with attracting, retaining and engaging talent. According to Workday, these agents will improve the employee experience and allow HR teams to concentrate on strategic initiatives by automating time-consuming processes.

New agents include a Business Process Copilot that automates the setup of new business procedures to reduce manual effort, the aforementioned Case Agent that automates administrative tasks to reduce resolution times for employee needs, an Employee Sentiment Agent that analyzes employee feedback and a Performance Agent that tracks data from enterprise applications to streamline reviews and recommend actions.

To assist finance teams, the company introduced agents specifically designed for reconciliation, testing and planning. These agents help business leaders adapt to changing situations with valuable analysis and improved decision-making capabilities.

These new agents include a Cost and Profitability Agent that allows users to define allocation for costs and revenue based on natural language, a Financial Test Agent that tests financials to detect fraud and enable compliance and the Financial Close Agent that automates the finalization of accounting records to retain accurate financial statements.

For use cases not covered by these agents and Workday’s already existing AI agents, the company today announced Workday Build, a new developer platform that gives customers and partners the power to create and deploy their own AI-powered solutions. It includes Flowise Agent Builder, a low-code tool that makes building agents on the company’s platform simple for both non-technical and advanced users.

“The era of one-size-fits-all enterprise software is over,” said Peter Bailis, chief technology officer at Workday. “With Workday Build, customers go from consuming AI to creating with it, giving them the power to build intelligent solutions directly on their most trusted people and financial data.”

All of these capabilities will be powered by Workday Data Cloud, a new data layer announced today that the company said will connect AI agents to business intelligence and operational systems. In addition, Workday also announced partnerships with Databricks Inc., Salesforce Inc. and Snowflake Inc., permitting zero-copy access to HR and finance data within these data storage platforms.

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Digital Health Care Forum Live Updates: Leaders Talk Industry’s AI Future

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As the demands on the health care industry grow, top health systems must invest in the integration of new technologies to support physicians and better care for patients.

Newsweek’s Digital Health Care Forum on Tuesday, September 16, 2025, invites health care leaders from top health systems across the country to New York City to share their strategies, challenges and impacts of recent technological innovations.

The forum, sponsored by Tecsys, Palantir and WelcomeWare, features a full day of programming that includes expert panels, research presentations, fireside chats and networking receptions that address the biggest challenges facing health care systems in the digital age.

  • The forum is led by Newsweek’s Health Care Editor Alexis Kayser.
  • The diverse slate of panels will discuss topics such as financing innovation, tech integration, virtual health care, artificial intelligence, governance and leadership in the digital age.
  • Some notable speakers represent leaders in the industry, including Kaiser Permanente, Columbia University, Hospital for Special Surgery, Microsoft Health and Life Sciences, Statista, MD Anderson Cancer Center, Corewell Health and Northwestern Medicine.
  • The full list of panels and speakers can be found here.



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Technology helps combat challenges of health care in rural states

The panelist discussed the most important technological advancements they have integrated into their health systems.

David Callendar of Memorial Hermann said the system is owned by the greater community of Houston, Texas and is very supportive of their mission to improve overall health. Callendat said Memorial Hermann engages with members of the community directly to help them understand what good health is and how to obtain it within their circumstances.

Brad Reimer from Sanford Health said the adoption of technology “has got to be targeted,” and the mission case and a business case have to come together. He said their mission is to sustain health care in rural America. An example of this is doubling down their investment in virtual care and developing an AI model with the chronic kidney disease team that, along with the development of electronic health records, has doubled the number of screenings and tripled the number of clinical diagnoses of chronic kidney disease.





Panelist says health systems can’t improve “without leveraging technology”

After the first networking break, Alexis Kayser is back on stage for her next panel, “The Business Case for Tech and Innovation,” which explores how hospital systems can adopt new technologies to drive efficiency and reduce costs.

Memorial Hermann Health System CEO Dr. David Callender, Fairview Health Services President and CEO James Hereford and Sanford Health CIO Brad Reimer share what has worked at their institutions to build a successful tech portfolio with a strong return on investment.

Fairview had a significant financial turnaround this past year. Hereford said the investment in technology played a major role in that success.

“We want to transform health care and you can’t fully do that without fully leveraging technology,” he said.

Reimer said pacing out tech deployments in the Sanford Health System has been a huge benefit. He said it allows the health system to do more pilot programs, reduce risk and pivot or bail out when they aren’t getting the outcomes they want.

“That’s much harder to do if you push that across a whole physician group or a full nursing group,” he said. “[We’re] trying to make sure that we’re taking a big picture step back of how much change are we are introducing to the clinicians and to operations and making sure that we’re not just peppering them with a bunch of uncoordinated things that don’t drive value.”

This approach has also helped with the recruitment of medical staff who expect the latest technology and advancements in hospitals.



First networking break begins

Attendees are now taking a short networking break before the next panel, The Business Case for Tech and Innovation, with speakers from Memorial Hermann Health System, Fairview Health Services and Sanford Health.



Koford said new cancer center is a “catalyst” for MSK’s mission

Kreg Koford said the new cancer center will address disparities in cancer care for underserved communities, translate research into clinical work, train the next generation of doctors and be a center for “impact-driven innovation” with “compassionate, personalized care.”

There will also be staff respite areas for clinicians to decompress from the high-stress environment, fall-prevention technology in patient rooms and improved digital displays and smart capabilities throughout the facility.

The guiding principles of the pavilion technology include:

  • The patient is the focus
  • Speed, stability and resilience in technology investment
  • Using the most advanced, effective, efficient and compassionate care with flexibility and foresight to enable innovation
  • Working as a team and using technology to improve collaboration among clinicians, patients and families
  • Supporting team members
  • Turning every interaction into insight by collecting data to improve outcomes and accelerate clinical trials and scientific discovery

He said the building serves as a “catalyst” for Memorial Sloan Kettering’s mission to provide care for everyone who needs it and “hopefully eradicate cancer and, if not, provide care to help patients recover.”

The pavilion is set to open in 2030.




A look at Memorial Sloan Kettering’s newest cancer pavilion

Kreg Koford, the senior vice president of Real Estate Operations at Memorial Sloan Kettering Cancer Center, presented the hospital’s plan to build a new facility to address the anticipated increase in demand for care and to accommodate modern and future technology.

Koford said there are currently 40,000 new cancer cases in New York City each year, and that will increase to about 47,000 cases by 2030 and 60,000 by 2050.

To address this, MSK is building the Kenneth C. Griffin Pavilion on its main campus, located on the Upper East Side of Manhattan. The pavilion will house a new, state-of-the-art cancer care facility to accommodate the rising number of cancer cases each year.

The facility features 12 new operating rooms, 2,018 inpatient beds, single rooms for immunocompromised patients and the latest technology and cutting-edge robotics.





Panelists define with good vendor partnership looks like in health care

The speakers on the Breaking Down Silos panel shared what they look for in outside vendors to ensure true partnerships.

They agreed that the partnership has to go beyond the financial transactions.

Simon Nazarian from City of Hope said the patient is always at the center of these decisions, and when you start with the financial, you can lose the reason why you’re engaging in the partnership.

“What will this [partnership] deliver to the patient and the health care industry overall?” he said.

At IU Health, Dennis Murphy said transparency is key with these vendor partnerships.

“Define accountability on both sides of the table,” he said. “We want to know if our team is not doing what they’re supposed to. We are okay with telling vendors, but we are not as receptive about the feedback for our own team.”

He also said that products are not static; they are dynamic. Good partners, he said, talk about what is next in the space. Going beyond the financial transaction means talking with partners about the next two or three things coming down the pike.


Digital Health Care Forum 2025



Newsweek Health Care Editor Alexis Kayser hosts the “Breaking Down Silos: Achieving True IT Integration in Health Care” panel during the Digital Health Care Forum on September 16, 2025, at One World Trade Center in…


Newsweek





Panelist discuss concerns over sharing patient medical data

Newsweek’s Alexis Kayser leads the first panel of the day, “Breaking Down Silos: Achieving True IT Integration in Health Care,” which tackles breaking down silos with tech integration.

Panelists include IU Health President and CEO Dennis Murphy, City of Hope Executive VP and Chief Digital and Technology Officer Simon Nazarian and Northwestern Medicine Chief Digital Executive and VP of Information Services Danny Sama.

Kayser asked the panel about patient data sharing, as people are worried about privacy and control over sensitive health data that could be used for education and research.

Sama said it comes down to whose data it is.

“It’s the patient’s. If the patient doesn’t want data to be used, that is their right,” he said.

He noted an ethical conundrum: Could this data lead to a medical breakthrough and would it be unethical not to use it? Sama said that the decision might be left up to the courts and government regulation.

“HIPPA needs updating for the modern system of how we use information,” he added. “Regulations might hinder progress more than helping it. But it is patient data, so it’s a tricky tightrope to walk.”

Murphy offered a different perspective, saying physicians need to take the time to explain to patients why the data is necessary to advance medical research.

“I don’t think people want to invest time to have those conversations with patients, he said.

Murphy added that the main concern among patients who are hesitant to share their data are fears of insurance costs going up, putting employment in jeopardy and wanting a return on investment if their data is used for major medical advancements.





Tina Freese Deckers shares key behaviors to drive change in health care

Tina Freese Deckers, the board chair of the American Hospital Association and president and CEO of Corewell Health, took the stage to share her opening remarks.

She shared a story of a patient with tremors who wrote her a letter, his first hand-written note in 30 years, after a focused ultrasound procedure.

“He now can write a letter, he can now drink coffee without worrying about spills,” she said. “We totally changed his life and that’s why we’re here.”

She outlined overall challenges facing health care, including funding, affordability, an aging population and a shrinking workforce.

Health care has been slow to change, Freese Deckers said, and there are five key behaviors needed to drive change:

  • Taking care of ourselves and each other
  • Focus on mission and purpose and find the problem we are trying to solve and tie it back to the mission
  • Be curious about the road ahead, which requires actively listening and communicating and seeking out different points of view
  • Commit and own it: Go to the higher rungs of the accountability ladder where you find solutions and “make it happen”
  • Make sure we deliver and celebrate those successes

“This is how we do hard things, this is how we start to move forward,” she said. “We need to make sure that we’re doing those hard things, that we’re embracing the technology and artificial intelligence, that we’re bringing the hope to our teams, that we’re putting forward the discussions that we have and we’re owning it and making it happen.”



Newsweek’s health care editor outlines industry challenges in opening remarks

In her opening remarks, Newsweek’s Health Care Editor Alexis Kayser welcomes attendees and speakers – some of whom traveled from California, Texas, South Dakota, and even internationally from Mexico, Spain, Belgium and Colombia.

Kayser likens the current state of the health care industry to the Charles Dickens quote: “It was the best of times, it was the worst of times.”

“Where we sit, in the United States, health systems are up against funding cuts and rising costs,” she said. “Our population is getting older and they’re getting sicker. Policies, waivers and regulations are up in the air. And patients’ trust doesn’t come as easily as it used to. “

But, Kayser added, advancements in technology like AI and predictive analytics have the potential to turn things around.

“The people in this room are the people who are going to get us there,” she said. “The discussions we have in this room should help make that path a little clearer.”



Digital Health Care Forum to feature panels, fireside chats, presentations

Attendees are arriving at Newsweek’s headquarters in New York City for the Digital Health Care Forum: Sculpting a Digital Future.

The event will kick off with opening remarks from Newsweek’s Health Care Editor Alexis Kayser and Tina Freese Decker, the president and CEO of Corewell Health, at 10 a.m.

A full day of panels and fireside chats will follow throughout the day, including:

  • A “State of the Industry” presentation with Newsweek’s Global Head of Research and Statista
  • Discussions about aligning tech and financial investments with strategic planning
  • Fireside chats with senior leadership from Tecsys and Palantir
  • A panel about change management from the perspective of chief medical and nursing information officers
  • Presentations from Memorial Sloan Kettering Cancer Center and UMass Memorial Health
  • A look at telehealth and remote patient monitoring technologies
  • A review of AI advancements, use cases and challenges in top hospital systems
  • Advice from top hospital systems about taking “healthy risks”
  • A spotlight on fostering trust and collaboration from Newsweek CEO Circle members

The full schedule of events can be found here.







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Cyber A.I. Group Appoints Alex Epshteyn as Chief Innovation

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LONDON and MIAMI and NEW YORK, Sept. 16, 2025 (GLOBE NEWSWIRE) — Cyber A.I. Group, Inc. (“CyberAI” or the “Company”), an emerging growth Cybersecurity, Artificial Intelligence and IT services company engaged in the development of next-generation market disruptive AI-driven Cybersecurity technology, announced today the appointment of Alex Epshteyn as Chief Innovation Officer.

WEB Alex

Mr. Epshteyn brings over 28 years of executive leadership and advanced technical expertise in AI, complex systems integration, real-time data visualization and large-scale infrastructure projects. In his new role, he will lead CyberAI’s innovation initiatives, overseeing product strategy, research and development and the continued evolution of CyberAI’s expanding patent portfolio including Sentinel 2.0—the Company’s patent-pending AI-powered Cybersecurity subscription platform.

Working in collaboration with Dr. Peter J. Morales, CyberAI’s Chief Technology Officer / Chief Operating Officer, Mr. Epshteyn will drive efforts to align advanced innovation with enterprise needs and global market expansion. His appointment underscores CyberAI’s commitment to industry leadership, product excellence and the delivery of intelligent Cybersecurity solutions tailored for middle-market companies worldwide.

“Alex is a world-class innovator with an extraordinary ability to design, architect and commercialize cutting-edge technologies,” said A.J. Cervantes, Jr., Executive Chairman at CyberAI. “His deep experience spanning AI and mission-critical infrastructure will play a pivotal role as CyberAI accelerates the launch of our CyberAI Sentinel 2.0 platform and we position the Company for rapid growth and scale.”

Mr. Epshteyn previously served as CEO and CTO of Zignage, a premier real-time data visualization and digital signage company powering clients such as the New York Stock Exchange, Mizuho Bank, BMO and Morgan Stanley. He also founded Ngaged Software, an AI-powered education technology startup whose platform, BriteClass, was deployed at Harvard, MIT, Brandeis and NYU, among other colleges and universities. Earlier in his career, he held senior roles at Hewlett Packard Consulting, SIAC, Arup Consulting and Adler Group, contributing to initiatives that spanned trading systems for the NYSE, national emergency response infrastructure and major transportation hubs including JFK and Penn Station.

“Cyber A.I. Group represents the future of intelligent Cybersecurity and I am honored to join its exceptional leadership team at such a transformative time,” said Mr. Epshteyn. “The opportunity to pioneer AI-driven innovation while delivering secure, scalable and adaptive solutions through CyberAI Sentinel 2.0 is one I greatly look forward to. Together, we can help enterprises navigate an increasingly complex digital threat landscape with confidence and resilience.”

Mr. Epshteyn holds a B.A. with honors in Cognitive Science and Computational Linguistics from Columbia University and completed graduate work at NYU’s Media Lab at the Tandon School of Engineering. He has developed custom software and data analysis tools, while also volunteering at NYU Tandon to mentor undergraduate engineering students.   Through his appointment as Chief Innovation Officer, CyberAI strengthens its commitment to delivering next-generation, AI-powered Cybersecurity solutions to a global marketplace.

About Cyber A.I. Group, Inc.

Cyber A.I. Group, Inc. (“CyberAI”) is a next-generation technology company pioneering the development of advanced proprietary platforms at the intersection of Artificial Intelligence and Cybersecurity. With a mission to redefine how organizations protect, predict and respond to digital threats, CyberAI is positioning patent pending technologies that enable autonomous threat detection, adaptive risk mitigation and intelligent system resilience across enterprise and cloud environments as a low-cost alternative for small and medium-sized businesses. At the core of CyberAI’s innovation is a team of world-class technologists, data scientists and Cybersecurity experts dedicated to creating breakthrough solutions that are scalable, secure and globally deployable. The Company’s technologies are designed to address the most urgent and complex challenges facing today’s digital infrastructure, from AI-driven security orchestration to autonomous anomaly detection and predictive analytics for critical systems. CyberAI’s commitment to continuous innovation and deep IP development is positioning it at the critical intersection of AI and the global Cybersecurity landscape. By fusing Artificial Intelligence with real-world cyber defense expertise, the Company aims to set new standards for intelligent infrastructure protection and digital trust. For more information, please visit: cyberaigroup.io

Forward-Looking Statements

This press release may contain “forward-looking statements,” including statements regarding growth plans, acquisitions, product commercialization, integration and prospective capital-markets activities. These statements are based on current expectations and involve risks and uncertainties that could cause actual results to differ materially. CyberAI undertakes no obligation to update forward-looking statements except as required by law.

Photos accompanying this announcement are available at:

https://www.globenewswire.com/NewsRoom/AttachmentNg/a99f3b57-3a68-49cf-93ef-b0e93cd27a88

https://www.globenewswire.com/NewsRoom/AttachmentNg/4b6183db-fbec-4b13-ac7d-11d923425d26


            



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