Announcements
- In addition to ever-increasing volumes of data, storage needs have evolved due to increases in remote work, the use of cloud services, and cybersecurity concerns such as ransomware. In Modern Storage Management summit, learn from top industry experts and solution providers about the latest ways to effectively manage the flood of enterprise data. You’ll hear about the various forms of cloud storage and how they can benefit your storage strategy, new trends in data backup, and how to ensure security and data protection are always a priority.
- Enterprises today are experiencing rapid growth, citing IT observability as an essential business imperative so companies can properly monitor and manage their complex environments. Tune in to the Pursuing Full-Stack IT Observability summit to learn from leading experts how to establish enterprise observability with the right approach and solutions. Learn about the leading platforms and tools to help companies achieve full-stack observability and keep business environments functioning smoothly.
The case for AI-human collaboration
It’s no surprise that Artificial Intelligence articles make up the majority of today’s edition of DSC Weekly. Every day there are new predictions and studies anticipating how AI will influence business and society as a whole. The consensus is that AI isn’t going anywhere. How it influences society will depend on balancing the immense power of AI with human’s ability to scale back potential risks that come with it.
To achieve this balance, DSC contributor Bill Schmarzo says it’s necessary for everyone to “think like a data scientist” when it comes to AI. In part 1 of his “AI for Everyone” blog, Bill makes the case for educating and empowering everyone to participate in the AI conversation. He describes the “TLADS” methodology as a collaborative process to develop metrics against which organizations determine their value creation effectiveness. In his blog, Bill outlines the steps to implementing the TLADS methodology that he says can help guide ethical AI development.
This will likely be the deciding factor over AI’s influence over society and humanity as a whole: the ability for humans to work with AI vs. fighting against it. In order for AI to reach its full economic and societal potential, everyone must be involved in AI model design and management, according to Bill. In Part 2 of his “AI for Everyone” blog, he promises to lay out how to get everyone understands their role in developing not only functioning AI models, but also responsible and ethical ones. Without this input, the doomsayers could be more correct than we want to believe.
The Editors of Data Science Central
Contact The DSC Team if you are interested in contributing.
DSC Featured Articles
- 6 signs your data warehouse needs a makeover
May 9, 2023
by Prasanna Chitanand - LLMs Emergent Abilities: Explainable AI and the Human Mind
May 9, 2023
by David Stephen - The observer effect in a multi-layered neural network
May 9, 2023
by Issoufou Seidou Sanda - Achieving mainframe reliability with distributed scale
May 9, 2023
by Andrew Oliver - The Roles and Responsibilities of Data-centric Developers
May 9, 2023
by Kirk Borne - AI for Everyone: Learn How to Think Like a Data Scientist – Part 1
May 8, 2023
by Bill Schmarzo - Transforming IT through SaaSification
May 8, 2023
by Andrew Oliver - How Machine Learning is Revolutionizing the Healthcare Industry
May 8, 2023
by Evan Rogen - Maximizing Revenue in Psychology Practices: Leveraging AI for Billing Optimization
May 5, 2023
by John Lee - DSC Weekly 2 May 2023 – Big tech must weigh AI’s risks vs. rewards
May 2, 2023
by Scott Thompson
Picture of the Week
