The Future of Computing: Harnessing Molecules for Sustainable Data Management

In this contributed article, Erfane Arwani, founder and CEO of Biomemory, discusses how molecular computing (using molecules rather than traditional silicon chips for computational tasks) could be a critical component in revolutionizing data storage, despite the exponential growth of AI.

The Infrastructure behind the Outputs: Cloud and HPC Unlock the Power of AI

In this contributed article, Philip Pokorny, Chief Technology Officer for Intelligent Platform Solutions/Penguin Solutions at SGH, provides insights regarding the relationship between high-performance computing (HPC) and generative AI and his expert point-of-view of the growing market. The increasing momentum behind generative AI in recent months has raised the prospective capabilities of enterprise businesses. At the forefront of this technology will be those that leverage HPC to create their solutions.

How Are Conversational and Generative AI Tools Impacting Communication? 

In this contributed article, Nate MacLeitch, CEO of QuickBlox, believes that communication is good; AI-enhanced communication is great. AI’s ability to offer services like tone assistance, quick-answer responses, real-time translation, and audio-to-text conversions facilitates collaborative efforts among professionals, patients, and customers, regardless of their background.

Post-Postgres: What’s Driving a Great Migration from the Iconic Database

In this contributed article, Tanya Bragin, product lead at ClickHouse, offers a thesis premised on an industry-wide shift from OLTP databases like Postgres for everything and into OLTP for certain functions and OLAP for others.

Navigating the Evolution: Transitioning from Traditional Analytics to AI

In this contributed article, Corne Nagel, Lead Data Scientist at IKASI, provides key considerations for embarking on an AI initiative and discuss how by embracing AI, organizations can unveil hidden patterns, anticipate trends, and unlock a realm of possibilities that traditional analytics could never fully capture. He also shares how businesses across industries are leveraging this dynamic shift to achieve hyper personalization down to the individual level to significantly improve the customer experience and achieve unmatched ROI.

The Critical Role of Data in Solving Society’s Biggest Problems

In this contributed article, Charles Sword, Chief Revenue Officer at UpMetrics, discusses why foundations and impact investors have been dropping the ball with respect to data analytics and how they should work with the nonprofits they fund to maximize the impact they are making and effectively convey stories which illustrate that impact.

How Generative AI Can Help Lower Data Risk in  Enterprises 

In this contributed article, Sid Banerjee, CEO of SG Analytics, discusses how generative AI has become widely popular. However, its adoption comes with a degree of ethical data risk. It has become more vital than ever for businesses to prioritize the use of generative AI responsibility while ensuring an accurate, empowering, and sustainable environment. There is also a growing need for ethical implications to lower data risks in enterprises.

The AI Revolution Has Officially Arrived—Here’s What it Looks Like On the Ground

In this contributed article, Nik Froelich, CEO and Founder of Saritasa, suggests that as we know, the possibilities AI brings to business are nothing short of thrilling; however, there is a sense that perhaps we’re overlooking the powerful impact it already has on our world. Explore the various novel ways in which AI is already transforming the business landscape.

Generative BI Will Make Your Business Decisions Data-Driven

In this contributed article, Jon Reilly, Co-Founder and co-CEO of Akkio, believes that by focusing generative BI on high-impact areas first, SMBs can set themselves up for scalable success. Soon, these capabilities will be table stakes for any company that wants to deliver value to customers and keep pace with the market. SMBs that lead the way in adopting generative BI will have the advantage as the competition scrambles to catch up.

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.