Five Key Trends in AI and Data Science for 2024

Artificial intelligence and data science became front-page news in 2023. The rise of generative AI, of course, drove this dramatic surge in visibility. So, what might happen in the field in 2024 that will keep it on the front page? And how will these trends really affect businesses? During the past several months, we’ve conducted […]

GenAI and LLM: Key Concepts You Need to Know

It is difficult to follow all the new developments in AI. How can you discriminate between fundamental technology here to stay, and the hype? How to make sure that you are not missing important developments? The goal of this article is to provide a short summary, presented as a glossary. I focus on recent, well-established […]

Data Maturity: The Cornerstone of AI-Enabled Innovation

In the relentless pursuit of innovation and securing a competitive advantage, businesses are progressively harnessing the power of artificial intelligence (AI) as a transformative tool. The promise of AI to streamline operations, elevate decision-making processes, and unveil concealed patterns within data has spurred its swift integration across industries, especially in retail, manufacturing, and distribution. However, […]

Difference between modern and traditional data quality

Modern data quality practices leverage advanced technologies, automation, and machine learning to handle diverse data sources, ensure real-time processing, and foster collaboration across stakeholders. They prioritize data governance, continuous monitoring, and proactive management to ensure accurate, reliable, and fit-for-purpose data for informed decision-making and business success. Modern data quality practices differ from traditional data quality […]

Difference between modern and traditional data quality

Modern data quality practices leverage advanced technologies, automation, and machine learning to handle diverse data sources, ensure real-time processing, and foster collaboration across stakeholders. They prioritize data governance, continuous monitoring, and proactive management to ensure accurate, reliable, and fit-for-purpose data for informed decision-making and business success. Modern data quality practices differ from traditional data quality […]

Ley de IA de la UE: primera normativa sobre inteligencia artificial

El uso de la inteligencia artificial en la UE estará regulado por la Ley de Inteligencia Artificial, la primera ley integral sobre IA del mundo. Aquí más información sobre cómo funcionará. Como parte de su estrategia digital, la UE quiere regular la inteligencia artificial (IA) para garantizar mejores condiciones de desarrollo y uso de esta tecnología […]

AI + No-Code: The Viral Combo Redefining Developer Innovation

Time is of the essence for organizations in today’s dynamic, digital world, and developers are facing increasing pressure to implement new applications and develop code quicker than ever before, often with limited internal resources. As companies explore new ways to increase developer productivity and operations, low code/no code tools have grown in popularity as the […]

Prompting Isn’t The Most Important Skill

Anant Agarwal, an MIT professor and of the founders of the EdX educational platform, recently created a stir by saying that prompt engineering was the most important skill you could learn. And that you could learn the basics in two hours. Although I agree that designing good prompts for AI is an important skill, Agarwal overstates his […]

Everyone talks about data sharing. But do you really know how to do it?

Every agency generates it, and it is best used when it is shared, combined for new insights and applications. But data sharing is not as simple as it sounds. New research from the industry-supported Center for Data Innovation outlines six possible strategies for sharing your data. For more, Federal Drive with Tom Temin spoke with Daniel Castro, […]

Prioritize Generative AI Governance Over Location

Should you run generative AI workloads on premises or in the public cloud? Yes, but your operational maturity and ability to master risk are more critical. Buckets of digital ink have been ladled out of late over whether generative AI applications should run internally or externally. Where GenAI workloads run does matter, as the wrong location can […]