GenAI signifies a pivotal shift in today’s technological landscape, allowing enterprises to discover profound insights, streamline operations, and make data-driven decisions on an unprecedented scale. However, GenAI capabilities create ethical and regulatory considerations that require attention. Register for the Enterprise Strategy Group: GenAI Summit to engage with thought leaders as they navigate the intricate dilemmas, evolving regulatory landscape, and responsible AI practices that maximize the benefits of GenAI technology while mitigating inherent risks and biases.
As organizations pursue cloud initiatives to support digital transformation, multi-cloud strategies have grown in popularity. However, many organizations have experienced challenges as they scale multi-cloud projects, including difficulties interconnecting disparate platforms, optimizing costs and establishing visibility across various cloud environments. Register for The Power of Multi-Cloud summit for insights from industry experts and solution providers to help navigate the complexities of multi-cloud initiatives and fully leverage its benefits.
Top Stories
How to make dumb AI networks smarter July 22, 2024 by Alan Morrison Networking technologists and social scientists alike know what the Meltcalfe’s Law is. It’s popularly known as the Network Effect. The Network Effect describes the exponential value networks can bring to resources. The more users that are able to discover and point to a given resource, the larger the Network Effect.
Global AI Trends In Business and Humanity – Show 12 July 22, 2024 by Dan Wilson After a nice four week break, the AI Think Tank Podcast is back for its 12 show. I had the pleasure of sitting down with Egle B. Thomas, a distinguished international AI advisor and business expert. Egle and I met last year through MIT and have remained close friends since.
In-Depth
How predictive analytics helps mitigate supply chain disruptions July 23, 2024 by Zachary Amos Navigating the intricate web of today’s global supply chain is akin to steering through a maze of potential disruptions. These pose significant challenges for businesses, threatening operational continuity and profitability. However, amidst this complexity, predictive analytics emerges as a beacon of hope, offering proactive solutions to anticipate and mitigate supply chain disruptions before they escalate.
The impact of data governance on data warehouse performance July 22, 2024 by Ovais Naseem Organizations rely heavily on data warehouses and data lakes to store and manage vast information in today’s data-driven world. Maintaining high performance becomes a critical challenge as data warehouses grow in complexity and scale. One often overlooked aspect that significantly influences data warehouse performance is data governance.
Avoid GenAI Model Collapse and Death by Averages July 22, 2024 by Bill Schmarzo The Harvard Business Review article “Has Generative AI Peaked?” raised a troubling concern concerning Generative AI (GenAI): “This brings us to an unsettling yet entirely conceivable prospect: Future AI models might predominantly train on their own outputs. Could such a model genuinely capture the nuances of human thoughts and behavior?
The intersection of big data, AI, and EPOS: A new era of retail intelligence July 18, 2024 by Edward Nick In today’s fast-paced retail environment, the buzzwords “big data” and “AI” are not just jargon—they’re game changers. And when you mix in the capabilities of modern Electronic Point of Sale (EPOS) systems, you get a powerful trifecta that’s reshaping the retail landscape.
DSC Weekly 16 July 2024 July 16, 2024 by Scott Thompson Read more of the top articles from the Data Science Central community.
