Lenovo Accelerates Smarter AI for All with New AI Solutions that Save Energy, Speed Deployment and Fast-Track AI Use Cases for Every Industry 

Lenovo unveiled new comprehensive enterprise AI solutions designed to help any company develop and deploy AI with turnkey services, business-ready vertical solutions and energy efficient innovations designed to accelerate the practical application of AI.

AI Turns The Digital Evolution of the Airline Industry Into a Revolution 

In this contributed article, Rick Seaney, Vice President of Innovation at 3Victors, wrote this piece to bring awareness to the incredible things that airline customers will experience in only a few years thanks to AI. He explains the importance of the industry to build the data and cloud foundation that is necessary to get us there.
From super-realistic AI generative videos of their destination to robots helping passengers with baggage to new ways to buy tickets – AI will change flying as we know it, and an investment in robust architecture is the approach that will support it.

Yesterday’s Pricing Processes are Not For Tomorrow 

In this contributed article, Barrett Thompson, General Manager of Commercial Excellence at Zilliant, discusses how most companies are still falling behind the curve when it comes to managing valuable business data, and are often trying to combat costs of working in disparate systems. Why are so many leaders resisting positive change when it comes to managing and evaluating valuable business information?

Data Insights are Illuminating the Future of the Power Sector

In this contributed article, David Thomason, Industry Principal – Power Generation at AVEVA, believes that the power sector has more data than ever on nearly every process in its value chain. Now, new technologies are helping make sense of all those details to provide competitive advantages – and it’s not a moment too soon.

How Solving the Big Data Problem Can Fix B2B Ecommerce

In this contributed article, Jonathan Taylor, CTO of Zoovu, highlights how many B2B executives believe ecommerce is broken in their organizations due to data quality issues. To address these challenges, leaders should focus on three strategies: prioritize data hygiene, leverage zero-party data for personalized customer experiences, and apply AI cautiously to ensure the delivery of accurate and trustworthy product recommendations.

Big Tech is Likely to Set AI Policy in the U.S. We Can’t Let That Happen

In this contributed article, Dr. Anna Becker, CEO and cofounder of Endotech.io, discusses explains why President Biden’s recent executive order and approach to regulating Artificial Intelligence puts American innovation at risk, by likely favoring the views and interests of large established tech companies rather than startups.

The Future of Applied AI in 2024: Transforming Healthcare, Energy, and Supply Chain with Tangible Outcomes

In this contribute article, Nick King, CEO and Founder of Data Kinetic, believes that 2024 holds great promise for Applied AI as it integrates into various sectors, transforming manufacturing, healthcare, energy, and beyond. However, as we move forward in this AI-driven future, addressing concerns such as misleading marketing, complex interactions, the need for guardrails and transparency, and the importance of meaningful AI education is crucial.

What Can the Sports Betting Industry Teach About Building Predictive Models?

In this contributed article, Dr. Darryl Woodford PhD, CTO at Cipher Sports, shares his insights about the key features of a good sports betting prediction model. We’ve already seen how fast and accurate these models can be. In the wagering industry, the next frontier is to apply these recent advancements to in-play and micro-betting markets, requiring another step forward in both data processing and data acquisition.

Generative AI Highlights the Need for Identity Verification

In this contributed article, Mark Lieberwitz, Co-Founder & CPO of KarmaCheck, takes a look at how verified identities help restore trust in digital content, combat the erosion of trust caused by generative AI, and prevent the dissemination of false narratives. Implementing identity verification must be accompanied by robust privacy measures and industry-wide collaboration to protect user data and establish consistent standards.

ChatGPT, Crime & the Impact on Law Enforcement

Our friends over at Cognyte recently released a report about ChatGPT, crime and the impact on law enforcement authorities: “ChatGPT and Crime – What Law Enforcement Needs to Know about Large Language Models.” Hundreds of millions of users around the world are using AI bots, such as ChatGPT, which are powered by Large Language Model (LLMs). This rapidly evolving technology has the potential to allow criminals and bad actors to easily scale up cyber-crime, financial crime, human trafficking, disinformation and other illicit activities.