Category: Artificial Intelligence

Central Connecticut State University has added a master’s degree in artificial intelligence, college officials said.

The University has announced that it recently launched a Master of Science in Artificial Intelligence, a graduate program designed to prepare students for a career in intelligent systems and machine learning technologies, in one of the first of its kind programs in Connecticut.

This program is now accepting applications for its inaugural cohort, offering students an opportunity to explore both the theoretical foundations and hands-on applications of artificial intelligence. The University said that the program features small class sizes, state-of-the-art lab facilities, and faculty who are experienced industry professionals.

The program is completed after 30 to 32 credits and offers foundational learning and specialized training. Core topics include knowledge representation and reasoning, neural networks, semantic web, and machine learning. Students can tailor their studies with electives in deep learning, natural language processing, data mining, generative AI, and intelligent robotics.

CCSU said the program is designed to be flexible and accommodating for recent college graduates and working professionals. Classes will be offered during the fall and spring semesters.

For full admission requirements and to learn more about the Master of Science in Artificial Intelligence program at Central, visit www.ccsu.edu/programs/artificial-intelligence-ms/

Stephen Underwood can be reached at sunderwood@courant.com

(ANALYSIS) Press freedom continues to be under threat globally, with journalists being killed or injured, others being censored, and media outlets being closed down, among others. According to the United Nations, since January 2025, at least 20 people who work in the media have been killed.

Impunity for crimes against journalists remains widespread, with more than 80% of killings going unpunished. However, it does not stop there. Increasingly, the media are being used to spread misinformation and disinformation. In recent years, these challenges have been exacerbated by the use of technology, social media and artificial intelligence (AI).

As indicated by the United Nations, the rapid growth and use of AI is changing journalism, the media and press freedom, with AI having a profound effect on information gathering, processing and dissemination. This comes with opportunities but also serious challenges.

AI can help support freedom of expression. It can make information easier to access, enable people to communicate across the world, and change information flows. However, AI also brings new risks. As warned by the U.N., AI “can be used to spread false or misleading information, increase online hate speech and support new types of censorship.

Some actors use AI for mass surveillance of journalists and citizens, creating a chilling effect on freedom of expression. Big tech platforms use AI to filter and control what content is seen, making them powerful gatekeepers of information. There are growing worries that AI may make global media too similar, reduce different viewpoints and push out smaller media outlets.”

Volker Türk, United Nations high commissioner for Human Rights, added that “AI-based algorithms often dictate what we see, shaping our opinions and perceptions of reality. Politicians use AI to weaponize disinformation and advance their own agendas. States are also using AI tools to monitor journalists and their sources online, violating their right to privacy. This has a chilling effect on media workers everywhere. And women journalists are disproportionately targeted.”

Within these challenges, women journalists are said to be at particular risk, with technology-facilitated gender-based violence (TFGBV). As warned by the United Nations Educational, Scientific and Cultural Organization (UNESCO): “AI amplifies existing risks for women journalists in the digital landscape. … AI systems can generate deepfakes, doctored images, and mis/disinformation campaigns aimed at discrediting or intimidating women journalists. These AI-driven attacks jeopardize their safety but also have a chilling effect on their work, potentially limiting public access to information.”

Last, but not least, Mr. Türk further warned against the concentration of power in the area of AI, with a small group of corporations and individuals having almost total control over AI technology and influence on the global media landscape.

As such, it is crucial to examine how to make the most of AI to support the work of journalists and the media, but also address the challenges it poses.

On May 3, the international community marked World Press Freedom Day, a day designated by the United Nations to galvanize action to ensure and protect press freedom globally. This annual commemoration gives the opportunity to assess the state of press freedom throughout the world, defend the media from attacks on their independence, and pay tribute to journalists who have lost their lives in the line of duty, among others.

This year, the World Press Freedom Day focused on the profound influence of AI on journalism and media. Mr. Türk said World Press Freedom Day is an opportunity for everyone to urgently commit to changing course now, starting with states.

He called upon states to ensure that journalists are safe from attacks, hate campaigns and surveillance, as well as physical and legal harassment. He stressed that it was key to provide for more transparency in how data is used, how content is curated and how algorithms are designed. Mr. Türk announced that his office and UNESCO are offering guidance to help tech companies assess the risks their tools pose to journalists and civil society.

The ever-present challenges and threats posed to journalists and the media require comprehensive responses — to protect free and independent media and its key role in ensuring that democracies flourish.

This piece was republished from Forbes with permission.

At its core, the insurance industry has a business model that’s been around for decades, at least on the service side of the equation. Essentially there are two sides of the market, as thousands of independent agents are on one side, and carriers are on the other.

While the conventional wisdom might hold that the insurance industry is huge and slow-moving, the reality is that dynamic forces are reshaping the vertical.

Changes are afoot that have not been seen in decades, including natural disasters, inflation and high interest rates, which have made it more expensive to replace homes, automobiles and personal property, Aviad Pinkovezky, CEO of InsurTech platform First Connect told PYMNTS in an interview.

The Perfect Storm

“All of these circumstances have created an almost perfect storm that is changing many habits and commonly used practices that have been part of this industry for a long time,” Pinkovezky said.

Carriers are changing the way they do business, focusing less on the top line than profitability, he said. They’ve been pulling out of markets (the seismic shifts in California in the wake of last year’s wildfires are an example), and they’ve started to apply “non-renewals” on policyholders. The shock to the system has been affecting agents.

Agents have been left scrambling, as the carriers that had long been business partners changed their models and markets, which in turn has meant that the agents could not habitually service policyholders, Pinkovezky said.

“It’s a bigger problem that goes into data and modeling and regulatory aspects,” Pinkovezky said, adding that for agents, there are new challenges in keeping track of carriers’ changes, availability, changes in policies, and even new entrants into a market. Conversely, carriers need different tools to identify and source the right agents that will bring them profitable business.

The Platform Model

With technology and advanced analytics, First Connect’s platform matches carriers with agents in a streamlined fashion, which then translates into a benefit for policyholders, who can find insurance that fits their needs and is not prohibitively expensive. First Connect was spun out of Hippo Insurance last year, following a $60 million growth investment from Centana Growth Partners.

Through the tech-driven machinations of the platform, with artificial intelligence and APIs in the mix, the company has evolved from a monoline general agency into a digital marketplace that connects agents to 120 insurance carriers across home, auto, commercial and life insurance lines. The workflows — from agent onboarding to policy binding — are cut down from weeks to minutes.

By way of example, the company’s “Appetite Finder” tool helps agents access real-time carrier “appetites” for specific risk profiles (in terms of policyholders) and gets those carriers in front of the agents that are linked to the clients the carrier may be seeking, Pinkovezky said.

“The technology creates more liquidity in the marketplace, as we connect both sides of the [insurance] marketplace at the right time,” he said.

The eventuality is that AI will impact all aspects of the industry once the regulatory frameworks are hammered out, touching everything from pricing to claims construction, Pinkovezky said. First Connect’s efforts involving AI have expedited the process of analyzing and approving, or rejecting, errors and omissions policies that agents need to upload to First Connect as part of their onboarding experience.

“There is some manual, human validation here, but at the end of the day, AI has proven to be a game changer,” he said.

For First Connect, the capital from the Centana Growth Partners investment will underpin growth.

“This is only the beginning,” Pinkovezky said. “It’s such a huge market … we have the means of building more partnerships, getting more carriers and building more tools to allow the utilization of those carriers by the agents in a more efficient and profitable way for all parties involved.”

For all PYMNTS digital transformation and AI coverage, subscribe to the daily Digital Transformation and AI Newsletters.

Apple continues its focus on hardware produced in-house, and is currently working on a new generation of chips for future hardware, according to Bloomberg.

The processors are thought to be destined for use in smart glasses, AI-capable servers, and the next generations of Macs.

One project involves a custom chip designed for smart glasses, which are thought to offer voice commands, photo capture, and audio playback, but will not be full augmented reality (AR) devices. The chip design is based on the low-power components used at present in the latest models of the Apple Watch, but modified to use less energy and support multiple cameras.

Apple has yet to comment on any of the rumoured projects ­ it’s a company with a strict policy of keeping the products it may, or may not be developing under wraps. However, production for the glasses chip is said to begin by late 2026 or early 2027. If that timeline holds true, devices could reach the market in two years. As with most of Apple’s chips, Taiwan Semiconductor Manufacturing Co. is expected to handle production.

Smart glasses have been in development at Apple for several years, industry insiders claim. The company aims to build full AR wearables that overlay digital information onto real-world views, but the technology is yet to be ready for everyday use. In this sector, Meta has already broken some ground, launching smart glasses in partnership with Ray-Ban. Apple seems to be pursuing a similar product, minus the AR features – at least, in any device’s first iteration.

Sources say Apple is developing both AR and non-AR glasses under the codename N401, previously N50. According to reports, Apple’s CEO Tim Cook hopes for the company to take a lead in this market segment. Meta, meanwhile, is expanding its own product line, planning to debut a high-end model of its Ray-Ban style device with a display later this year. The company is said to be targeting 2027 for its first, fully-AR glasses gadget.

Apple’s non-AR glasses could use cameras to scan the environment and apply AI to assist users, mirroring Meta’s current strategy. Apple is said to be biding its time, and waiting for AI software to mature before committing to a full product release.

In the meantime, Apple is exploring other avenues to improve its current product lines, with engineers reportedly testing features like cameras in AirPods and smartwatches, which will likely use Apple chips currently in development. Codename “Nevis” is slated for a camera-enabled Apple Watch, while “Glennie” is intended for AirPods. Both are thought to be planned for release by 2027.

Apple is said to be preparing a new set of processors specifically for Macs; the M6 (Komodo) and M7 (Borneo), and a higher-end chip “Sotra”. Apple is also thought to be planning to upgrade the iPad Pro and MacBook Pro with its M5 chip later this year.

Internal-to-Apple chip development efforts are part of Apple’s broader push to control the full hardware stack of its products. The hardware group, led by Johny Srouji, has been expanding its portfolio: Earlier this year, Apple launched its first in-house modem chip in the iPhone 16e, with a higher-end version, the C2, planned for release in 2026.

(Photo by Unsplash)

See also: Apple AI stresses privacy with synthetic and anonymised data

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

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May 09, 2025Ravie LakshmananArtificial Intelligence / Online Fraud

Google on Thursday announced it’s rolling out new artificial intelligence (AI)-powered countermeasures to combat scams across Chrome, Search, and Android.

The tech giant said it will begin using Gemini Nano, its on-device large language model (LLM), to improve Safe Browsing in Chrome 137 on desktops.

“The on-device approach provides instant insight on risky websites and allows us to offer protection, even against scams that haven’t been seen before. Gemini Nano’s LLM is perfect for this use because of its ability to distill the varied, complex nature of websites, helping us adapt to new scam tactics more quickly,” the company said.

Google noted that it’s already using this AI-driven approach to tackle remote tech support scams, which often seek to trick users into parting with their personal or financial information under the pretext of a non-existent computer problem.

This works by evaluating the web pages using the LLM for potential signals that are emblematic of tech support scams, such as the use of the keyboard lock API. The security signals are then extracted and passed to Safe Browsing to determine if the page is likely a scam.

“In addition to ensuring that the LLM is only triggered sparingly and run locally on the device, we carefully manage resource consumption by considering the number of tokens used, running the process asynchronously to avoid interrupting browser activity, and implementing throttling and quota enforcement mechanisms to limit GPU usage,” Jasika Bawa, Andy Lim, and Xinghui Lu of the Google Chrome Security team said.

Overview of how on-device LLM assistance in mitigating scams works

Google said it intends to expand this feature to detect other kinds of scams, including those related to package tracking and unpaid tolls. The feature is also expected to be rolled out to Chrome on Android later this year.

As part of the announcement, Google also revealed that it has enhanced its AI-powered scam detection systems to ensnare 20 times more deceptive pages and block such pages from search results, reducing schemes that impersonate airline customer service providers by over 80% and those that mimic official resources like visas and government services by over 70% in 2024.

Lastly, Google said it’s launching a new warnings feature for Chrome on Android that uses an on-device machine learning model to alert users of unwanted notifications sent by malicious sites that aim to trick them into downloading suspicious software or providing sensitive data.

“This new feature uses on-device machine learning to detect and warn you about potentially deceptive or spammy notifications, giving you an extra level of control over the information displayed on your device,” Chrome Security’s Hannah Buonomo and Sarah Krakowiak Criel said.

“When a notification is flagged by Chrome, you’ll see the name of the site sending the notification, a message warning that the contents of the notification are potentially deceptive or spammy, and the option to either unsubscribe from the site or see the flagged content.”

The features come a little over two months after Google rolled out AI-powered scam detection features in the Messages app for Android. Last year, the company unveiled similar ways to flag scam calls.

The updates also arrive as Google appears to be readying an Advanced Protection feature in Android 16 that, in some ways, mirrors Apple’s approach by turning off JavaScript, disabling 2G connections, and activating a number of security features by default, such as Theft Detection Lock, Offline Device Lock, Android Safe Browsing, spam protection in Messages.

Google has also been spotted working on a feature to detect scams that coax victims into opening their banking apps during phone calls, Android Authority reported earlier this week.

AI is rapidly transforming how we live, work, and communicate. But can we undergo that transformation without destroying the environment?

Hiroshi Watanabe/Getty Images

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Hiroshi Watanabe/Getty Images

AI is rapidly transforming how we live, work, and communicate. But can we undergo that transformation without destroying the environment?

Hiroshi Watanabe/Getty Images

In 2018, computer scientist Sasha Luccioni was an AI researcher for Morgan Stanley — and couldn’t shake this existential worry.

“I essentially was getting more and more climate anxiety. I was really feeling this profound disconnect between my job and my values and the things that I cared about,” Luccioni told NPR.

So Luccioni quit her job.

Now the Climate Lead at Hugging Face, an online community for AI developers to share models and datasets, Luccioni is part of a growing movement to make AI more environmentally sustainable.

One solution? Less artificial intelligence.

It’s not the only solution. In her 2023 TED talk, Luccioni encouraged the adoption of small AI models. Small language models (SLMs) have far fewer parameters and require much less energy than general-purpose large language models (LLMs), such as ChatGPT.

“Nowadays, more companies are like, ‘For our intents and purposes, we want to summarize PDFs.’ You don’t need a general purpose model for that. You can use a model that is task specific and a lot smaller and a lot cheaper,” Luccioni told NPR.

As AI models have grown in size, so have the energy required to run and maintain their infrastructure. A 2024 report by Lawrence Berkeley National Laboratory forecast that by 2028, U.S. data centers could consume as much as 12% of the nation’s electricity.

The same year, Google reported that their greenhouse gas emissions increased by almost 50% in the last five years, due in part to the AI boom. In the U.S., 20 new large data centers are slated for construction through the private joint venture Stargate.

Meanwhile, Google, Microsoft and Meta have also pledged to reach at least net-zero carbon emissions by 2030. Amazon has set their net-zero deadline for 2040. (All four companies are financials supporters of NPR. Amazon also pays to distribute some of NPR’s content.)

Two additional ways tech companies are seeking to offset their carbon footprint are with nuclear energy and more efficient data centers.

This is the second of a two-part mini-series on AI’s environmental footprint. Listen to Part 1 here.

Have a question about AI and the environment? Email us at shortwave@npr.org — we’d love to hear from you!

Listen to Short Wave on Spotify, Apple Podcasts and Google Podcasts.

Listen to every episode of Short Wave sponsor-free and support our work at NPR by signing up for Short Wave+ at plus.npr.org/shortwave.

Today’s episode was produced by Hannah Chinn and edited by Rebecca Ramirez. Tyler Jones checked the facts. Kwesi Lee was the audio engineer. Special thanks to Brent Baughman, Julia Simon, Johannes Doerge and the NPR Standards team, as well as to TED Conferences LLC.

AI, she said, is no longer a vision or science experiment, but is delivering real results. According to a release, examples of that include fast-tracking employee onboarding with the help of AI agents, streamlining information retrieval, and enhancing decision making through rapid visual analysis of charts, metrics, orders, and lists; Epicor AI agents then collaborate to suggest parts, suppliers, costs, and delivery schedules. This cuts down communication by up to 40%, the company said.

Carbon Cost Rollup, the company said, “establishes ‘Cost Rollup’ methods from standard costing systems. Adapting this concept transforms carbon tracking by treating CO₂ emissions as a currency, helping business leaders to calculate their compliance reporting to a high degree of certainty.”

Jordan said Epicor understands that “there are long term sustainability initiatives that need to be put in place now for future resilience and creating value. And we have a lot of interest specifically on this carbon costs rollup solution from our international manufacturers, many of them who were here at our customer conference, and very excited about the new release to help them measure and accurately report, as they need to report on Scope One, Two and Three emissions.”

Solutions Review Executive Editor Tim King curated this list of notable artificial intelligence news for the week of May 9, 2025.

Keeping tabs on all the most relevant artificial intelligence news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy artificial intelligence news items.

For early access to all the expert insights published on Solutions Review, join Insight Jam, a community dedicated to enabling the human conversation on AI.

Artificial Intelligence News for the Week of May 9, 2025

AgentSense Debuts New Agentic AI for CPG, Healthcare & Manufacturing

The newly launched website also highlights AgentSense’s commitment to delivering customizable, scalable, and secure AI solutions that adapt to cross-functional business needs while ensuring transparency, traceability, and responsible AI development. Visitors can explore product features, request a live demo, and learn more about the experienced team behind the platform.

Read on for more

Anthropic Adds New API for AI Web Search on Claude

Claude can also refine its queries and conduct multiple searches, using earlier results to inform subsequent queries. Developers can customize this behavior as well as specify domains from which Claude is allowed and not allowed to search.

Read on for more

Barracuda Drops New Multimodal AI-Powered Threat Detection Tools

Barracuda now uniquely delivers adaptive, context-aware protection against emerging attacks with unprecedented accuracy and speed by simultaneously correlating and analyzing diverse text and visual data types – including URLs, documents, images, QR codes, and more.

Read on for more

DataRobot Unveils New Federal AI Application Suite

The federal AI application suite delivers mission-specific AI use cases to help government agencies overcome critical challenges like talent attrition, financial management hurdles, asset downtime, legacy system integration, diverse data quality issues, emerging efficiency mandates, and more.

Read on for more

Domino Data Lab Says: AI ‘Breakthroughs’ Advancing, Biz Impact Still Lackluster

REVelate 2025, which commissioned BARC to poll 300+ C-level executives, VPs, and directors involved in AI strategy across North American and European enterprises, found stark differences in AI outcomes and priorities across sectors. Finance, life sciences, and public sector respondents identified varying degrees of adoption and use, shedding light on how each industry is incorporating AI infrastructure, tooling, and data to break ahead in their own markets.

Read on for more

Fastino Launches New Task-Specific Language Models

Fastino is also announcing $17.5M in seed funding led by Khosla Ventures, the first investor in OpenAI – bringing Fastino’s total funding to $25M. The round included participation from preseed lead investor Insight Partners as well as Valor Equity Partners, and notable angels including Scott Johnston, the previous CEO of Docker, and Lukas Biewald, the CEO of Weights & Biases.

Read on for more

IBM Unveils New Hybrid Capabilities

IBM estimates that over one billion apps will emerge by 2028, putting pressure on businesses to scale across increasingly fragmented environments. This requires seamless integration, orchestration and data readiness. IBM is combining hybrid technologies, agent capabilities and deep industry expertise from IBM Consulting to help businesses operationalize AI.

Read on for more

Jitterbit Brings New Layered AI Architecture to Low-Code Harmony Platform

Jitterbit Harmony, which includes iPaaS, App Builder, API Manager and EDI offerings, is designed for line-of-business leaders and IT/IS experts to collaborate on critical automation, application development and orchestration initiatives. The platform empowers both groups to build AI agents that seamlessly integrate with their complex enterprise architecture, driving unprecedented efficiency and innovation while maintaining rigorous control, transparency and accountability.

Read on for more

KNIME Demonstrates its AI Agent-Building Capabilities

Agent design typically comes in two flavors – either through blackbox prompt chains or through code-heavy environments accessible only to deep experts – KNIME offers users something in between. The visual workflow-based software is as transparent and flexible as a coding language, but intuitive – allowing for wider accessibility and easier collaboration. It’s also modular, allowing for faster time to value and easy reuse.

Read on for more

Kore.ai Partners with Microsoft on Enterprise AI Adoption

The integrated technologies will enable enterprises to access and deploy Kore.ai’s Agent platform, as well as pre-configured business solutions, directly within their Microsoft environments. The intention is to provide seamless AI agent functionality to employees within the Microsoft tools they use most frequently.

Read on for more

Kyvos Insights Unveils GenAI-Powered Kyvos Insights Tool

Kyvos Dialogs redefines how organizations access and analyze data. By combining the best of human knowledge and artificial intelligence, users can now ask questions in plain English and receive precise, actionable answers—no technical expertise or complex queries required. Kyvos Dialogs delivers best-fit charts and graphs to build compelling data stories.

Read on for more

ModelOp Drops 2025 AI Governance Benchmark Report

With global AI spending expected to reach $631 billion by 2028, the report highlights a stark disconnect between enterprise ambitions and production results. Reasons include fragmented systems, inconsistent governance practices, and reliance on manual processes like spreadsheets and emails.

Read on for more

NetApp and Intel Release Joint AI Solution on Enterprise Inferencing

NetApp and Intel have partnered to provide businesses with an integrated AI inferencing solution built on an intelligent data infrastructure framework that allows specific business functions to leverage their distinct data to create outcomes that support their needs.

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Oracle and IBM Extend Partnership on Hybrid Cloud & Agentic AI

To give customers a consistent way to build and manage agents across multi-agent, multi-system business processes, spanning both Oracle and non-Oracle applications and data sources, IBM is making its watsonx Orchestrate AI agent offerings available on OCI in July.

Read on for more

Protect AI Releases New GPT-4.1 Vulnerability Assessment

OpenAI states that they focused on real-world capabilities by making the models more useful for developers while keeping costs low. Models in this series appear to outperform GPT‑4o and GPT‑4o Mini in multiple evaluations, while also reducing latency and cost.

Read on for more

Rafay Launches New Serverless Inference Offering

These NCPs and GPU Clouds can now deliver Serverless Inference as a turnkey service at no additional cost, enabling their customers to build and scale AI applications fast, without having to deal with the cost and complexity of building automation, governance, and controls for GPU-based infrastructure.

Read on for more

Reactor Data Unveils New Electron AI Agentic Assistant

Electron acts as an intelligent co-pilot, enabling data analysts and teams to generate precise, context-aware mapping logic across source systems, semantic models, and destination schemas – all through simple conversational interactions.

Read on for more

SAS Software Releases New AI Agents with Customizable Human-AI Interaction

True enterprise value from agentic AI comes from building collaborative, intelligence-amplifying systems that work with humans. SAS Viya’s agentic AI framework is underpinned by three pillars that define how AI agents are designed and delivered.

Read on for more

ServiceNow Partners with NVIDIA on Open-Source AI Model ‘Nemotron 15B’

Walmart is an early adopter of the technology, giving developers access to agents designed to identify accessibility gaps in code. Expedia is in the experiment phase, enabling employees to experiment with AI agents as part of a generative AI playground.

Read on for more

New Skiilify Survey Finds: AI Won’t Replace You, But Lack of Soft Skills Might

As the first in an ongoing quarterly series of studies from Skiilify, the initial study finds that nearly all (94 percent) of technology leaders felt that resilience and other critical soft skills are required for the future, but many fail to get the proper training required. With AI, automation, and globalization reshaping the workforce, soft skills have emerged as the key differentiator for career advancement and organizational agility.

Read on for more

Snowflake Introduces New AI Tools for Automotive Verticals

This strategic investment reflects the growing demand from global manufacturers, including those in the automotive sector, seeking to accelerate their digital transformation and AI-driven innovation. Global technology and manufacturing companies like Siemens already leverage Snowflake to transform operations across their businesses with AI and advanced analytics, while maintaining strict security and governance standards.

Read on for more

StackAI Raises $16 Million Series A for Enterprise Agentic AI for Every Job

This rise in usage was fueled by the rapid growth of LLMs, including exceptional improvements in their versatility and reasoning capabilities. Their recent exponential growth, coupled with this vast expansion of AI technologies, has led them to double down on their premise. They want to deploy AI agents in enterprise companies that can perform any job.

Read on for more

Teradata Partners with ServiceNow on AI Agents and Autonomous Workflow

Truly autonomous agentic AI depends on access to clean, trusted data and the ability to act on it. Teradata has been powering predictive models and decision engines for decades and is the trusted foundation for AI models. Its integration with ServiceNow Workflow Data Fabric ensures joint customers can use AI agents to access enterprise-wide data in real-time.

Read on for more

Thoughtworks Releases State of Digital AI Readiness Report

The report introduces the Digital and AI Readiness Index, which categorizes organizations into four groups – Leaders (17 percent), Strong Performers (54 percent), Emerging Players (26 percent) and Late Adopters (3 percent) – based on their adoption levels across five critical pillars: digital products, platforms and services; enterprise modernization; managing (and modernizing) technology; data modernization and scaling AI (from pilot to production).

Read on for more

Unisys Drops New Trio of Cloud AI Solutions

The company’s cloud AI solutions are powered by the Unisys Intelligence Accelerator, a customizable technology that includes a structured set of guidelines and component code to accelerate and guide an organization’s solution development, implementation and management.

Read on for more

WisdomAI Launches New Agentic Data Insights Platform

WisdomAI offers innovative business insight agents that empower organizations with advanced decision-making capabilities. Founded by AI experts that have built market defining companies that are now public, WisdomAI innovates on a first-of-its-kind platform that combines reasoning AI agents with a Knowledge Fabric that understands business context intricacies.

Read on for more

Yellowfin Adds AI-Powered NLQ to Version 9.15 of BI Platform

Use of the AI NLQ feature requires an active OpenAI account. Only metadata (columns, data types, reference codes) and user questions are sent to the AI model. No raw data is transmitted, and role-based access controls allow for fine-grained management of the feature.

Read on for more

Expert Insights Section

Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam, Solutions Review’s enterprise tech community where the human conversation around AI is happening. The goal? To help you gain a forward-thinking analysis and remain on-trend through expert advice, best practices, predictions, and vendor-neutral software evaluation tools.

NEW Episode of The Digital Analyst with John Santaferraro Featuring James Kobielus: What is AGI?

John talks artificial general intelligence (AGI) with James Kobielus. They explore what AGI is, how it differs from current AI applications, and the technological milestones needed to achieve it. They debate whether AGI is a paradigm or a future capability, discuss governance challenges, and consider realistic timelines for AGI development, with Kobielus viewing it as a focusing function rather than a discrete endpoint.

Watch on YouTube

NEW Episode of The Insight Jam Podcast Featuring Doug Shannon: What is an AI Agent?

Doug and Doug explore the critical distinction between task-based agentic AI and goal-driven AI agents, while tackling the thorny question of workforce transformation with refreshing candor. Shannon presents a practical framework for organizations to build trust, foster adoption, and maintain intellectual property when implementing AI, all while warning about the dangers of “intellectual surrender” in an AI-driven world.

Watch on YouTube

NEW Episode of The Insight Jam Podcast Featuring Syncfusion CEO Daniel Jebaraj: Software Development in the AI Era

He and Doug explore how enterprises are navigating AI adoption amid market uncertainty, as many development teams already incorporate AI tools. Daniel shares Syncfusion’s strategy of making productivity tools more accessible globally, and what he loves and hates about being a CEO.

Watch on YouTube

NEW Friday Jam Session with Cher Fox, Joe Blatly, Jessica Wynter Martin & Gregory Lewandowski: Are You Doing AI or is AI Doing You?

Kick back and watch or get on screen and chat with the experts. Cher Fox is bringing together 3 amazing experts for a live, informal, and informative chat around the reality of AI adoption. Kick back and watch or get on screen and chat with the experts. Cher Fox is bringing together 3 amazing experts for a live, informal, and informative chat around the reality of AI adoption.

Watch on Insight Jam

On-Demand: Solutions Review Hosted Radware for Exclusive Show on API Security in an AI-Driven World

Join us on Tuesday April 29th for an exclusive Solution Spotlight Event: API Security in an AI-Driven World: Stopping Business Logic Attacks. Hear from industry expert: Jeremie Ohavon Senior Product Manager at Radware. Live product demo and Q&A included!

Watch on YouTube

On-Demand: AI Won’t Replace You, But Lack of Soft Skills Might: Insight Jam Hosted Skiilify’s Paula Caligiuri, PhD and Intelligent Automation Leader Doug Shannon

Join us for a special virtual event as we unveil the results of Skiilify’s newest study: AI Won’t Replace You—But Lack of Soft Skills Might. Based on insights from 217 tech professionals, the survey reveals a growing skills gap in resilience, curiosity, tolerance of ambiguity, and other core competencies that are critical for success in an AI-driven world.

Watch on YouTube

Solutions Review On-Location – What to Expect at Safe Software’s The Peak of Data and AI 2025 May 6-8

The Peak of Data and AI is the premier event for data and AI innovators, hosted by the creators of FME—the only All-Data, Any-AI Platform. Over three transformative days, you’ll explore the power of data integration and AI. From creating workflows to building AI agents, data integration and AI drive efficiency and deliver unprecedented insights.

Read on Solutions Review

Solutions Review Set to Host Alteryx for Exclusive Show on How Fueling AI Starts With Your Data on May 21

In this webinar, we’ll show how Alteryx empowers business users to access, prepare, and analyze data directly within platforms like Databricks or Snowflake—no code required and full governance intact. You’ll see how to go from raw data to AI-ready in minutes, not months.

Register free on LinkedIn

For consideration in future artificial intelligence news roundups, send your announcements to the editor: tking@solutionsreview.com.