Data & Analytics Market Evolution Over the Last Decade

In this contributed article, Angel Serrano, Head of Data Science at Santander UK, discusses data and analytics based on periodical surveys over the last 10 years.
The article is based on 10 multiple choice questions to 150+ audiences.

Study: 2023 Already Faced 55 AI Incidents, More than Half the Number Reported in the Whole of 2022

Surfshark’s study examined the timeline and frequency of recorded AI incidents and found that 2023 already has more than half the number of AI incidents reported in all of 2022.

New Study Reveals Data Management Is a Top Challenge in the AI Revolution  

According to a new global study conducted by S&P Global Market Intelligence and commissioned by WEKA, the adoption of artificial intelligence (AI) by enterprises and research organizations seeking to create new value propositions is accelerating, but data infrastructure and AI sustainability challenges present barriers to implementing it successfully at scale. These challenges have been exacerbated by the rapid onset of generative AI that has defined the evolution of the AI market in 2023.

Will Generative AI Change ‘The Way We Work’?

In this contributed article, Neelesh Kripalani, Chief Technology Officer, Clover Infotech, discusses how generative AI is rapidly transforming the way we live and work. It has already become a vital tool for many organizations, and its impact is expected to grow exponentially in the coming years. The article offers five predictions on how generative AI will change the way businesses work.

How Can You Effectively Select the Correct Language Model to Align with Your Business Needs and Goals?

In this contribute article, Garry M. Paxinos, CTO of netTALK CONNECT, believes that not all language models are the same: How can you effectively select the right language model that aligns with your business needs and goals? What capabilities cannot go unnoticed when analyzing language models?

Heard on the Street – 8/17/2023

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Generative AI Report: Deci Releases Powerful Open-Source Generative AI Model, DeciCoder, to Redefine Code Generation for Developers 

Deci, the deep learning company harnessing AI to build AI, released DeciCoder, its inaugural foundation model in generative AI helping users generate programming language code. This groundbreaking Large Language Model (LLM), dedicated to code generation with 1 billion parameters and an expansive 2048-context window, surpasses results released in equivalent models and effectively redefines the standards of efficient code generation.

Why Car Storage Depends on the Right Workload Analysis

In this sponsored post, Russell Ruben, director of automotive and emerging segment market, Western Digital, believes that as vehicle innovation continues over the next few years, driven by advances in sensors, 5G, AI, machine and deep learning and big data analytics, so must storage. Storage technology needs to keep up with the rapid pace of development as it becomes increasingly critical to support more and more demanding applications with mixed usages than ever before.

Empowering Agents, Delighting Customers: The Role of Smart Bots in Elevating Customer Support

In this contributed article, Nate MacLeitch, Founder and CEO of QuickBlox, discusses how businesses can use generative AI to enhance their customer service capabilities while working in tandem with human agents, rather than replacing them.

Evolution of Conversational Intelligence in Healthcare

In this contributed article, Michael Armstrong, Chief Technology Officer at Authenticx, discusses how AI-driven tools play an increasingly significant role in analytics, including those used to improve customer experience, by extracting valuable, actionable data insights. AI and ML enable healthcare organizations to more effectively listen to — and better understand — their customers’ voices and solve common issues or barriers.