AI Integration in the Service Industry: Navigating Challenges and Leveraging Human Expertise 

In this contributed article, Edwin Pahk, SVP of Presales & Customer Success at Aquant, discusses how AI is revolutionizing industries, especially in the service sector involving complex equipment maintenance, by promising efficiency and innovation. However, its integration faces challenges like adapting infrastructure, cultural shifts, and the need for evolved employee skills, requiring a human-in-the-loop approach and transforming AI vendors from mere providers to strategic advisors, while democratizing AI skills across the workforce.

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.

Harnessing the Capabilities of Gen AI for Unprecedented Impact and Effortless Integration

In this contributed article, Ajay Kumar, CEO at SLK Software, discusses how generative AI provides unprecedented impact and effortless integration for the banking, insurance, and manufacturing industries. Ajay elaborates on why you need an adoption framework to successfully implement generative AI, how different categories of generative AI fit into an enterprise adoption framework, and navigating stakeholder challenges of adopting generative AI

Compromising on your Data Stack? Solving Top Analytics Challenges

Organizations face more pressure than ever to be data-driven, but as economic challenges loom they are forced to do more with less with their IT budgets, making compromises with their analytics databases that end up hindering their data-driven initiatives. In this article, Exasol’s North American Business Lead, John Knieriemen, shares some best practices for how organizations can address these analytics challenges.

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.

The Impact of Data Analytics Integration Mismatch on Business Technology Advancements

In this contributed article, April Miller, senior IT and cybersecurity writer for ReHack Magazine, believes that when professionals are aware their data sets have missing, incomplete or inaccurate values, cleaning is often their first instinct. While it is an adequate approach, it won’t result in the same benefits as proactive action. If businesses prioritize standardization and compatibility, they can gain a competitive advantage, improve their strategic decision-making and accelerate technological advancement.

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.

Scaling Data Quality with Computer Vision on Spatial Data

In this contributed article, editorial consultant Jelani Harper discusses a number of hot topics today: computer vision, data quality, and spatial data. Computer vision is an extremely viable facet of advanced machine learning for the enterprise. Its utility for data quality is evinced from some high profile use cases. This technology can produce similar boons for other facets of the ever-shifting data ecosystem.

Navigating the AI Landscape in 2024: Prioritizing Ground-Truth Data, Developer Enablement, and Consumer Privacy

In this contributed article, Jason Hudak, SVP of Engineering at Foursquare, explores four pivotal aspects shaping the AI landscape: the imperative role of quality ground-truth data, the proliferation of developer enablement, the renewed focus on consumer privacy in the midst of an election year, and the role LLM’s and NLP’s will play in data democratization.