AI models are already driving how decisions get made in enterprise settings, but there's potential for them to do even more. Companies are looking for opportunities to apply AI to optimize every aspect of their operations, and they know they need to do it before the competition does.
One challenge preventing more AI adoption is a lack of transparency. Many modern AI models are essentially black boxes; no one can truly explain why they return the results they do. This fact limits the responsible application of AI across industries. For example, AI can help doctors make informed diagnoses quicker, but how can doctors trust AI models that they don't truly understand? The bottom line is that enterprise-grade AI models won't be considered viable unless they're trusted, and they won't be trusted unless they're transparent.
It's easy to see why we need AI transparency. The question of how to build a transparent AI framework is much more complex. It will require collaboration among many different parties, including the operators, providers and consumers in emerging AI data and model marketplaces. Building AI transparency isn't a single-point operation; it's a journey with many steps. We'll describe a few of the steps in that journey below.
It All Starts with Data
Like any other aspect of AI, data is fundamental to transparency. We can't begin to explain the results of an AI model without first looking at the data used to train that model. The source and lineage of datasets are like a roadmap that can illustrate how a model ended up at a particular outcome.
Bu hikaye DQ Channels dergisinin December 2024 sayısından alınmıştır.
Start your 7-day Magzter GOLD free trial to access thousands of curated premium stories, and 9,000+ magazines and newspapers.
Already a subscriber ? Giriş Yap
Bu hikaye DQ Channels dergisinin December 2024 sayısından alınmıştır.
Start your 7-day Magzter GOLD free trial to access thousands of curated premium stories, and 9,000+ magazines and newspapers.
Already a subscriber? Giriş Yap
Partners are Integrating Security Solutions
Chris Moore, SVP, Global Channels and Ajith Ramnath, Senior Partner Manager, India and SAARC, both at CyberArk, shared insights on the partner programme
Integrate both Online and Offline Channels
Ramesh Ramanujam, CEO, ABC Computers talks about challenges in hardware segment and how to get ahead
Growth Strategy for the Semiconductors Industry
Emerging techs present opportunities for Indian businesses to innovate, grow and contribute to the global semiconductor industry. An interaction with Srinivasa Gupta, CTO, SmartSoC Solution
Managing Software is Evolving with the Emerging Techs
The more we are abreast with technology, the more we can make the best use of our resources. Julian John, Owner, Zion Technologies on offering third partner software services
Predictive Data Analytics for Tracking and Optimising Performance
Anirudh Varshney, Founder & CEO, Trailytics talks about how to track and optimise performance of large and small enterprises
AI Edge to help Startups Outpace Industry Giants in Innovation
With Al, there is an efficient product development where the design and testing segments are compressed and products are introduced to the market faster to suit the dynamic consumer trends
Responsible AI Starts with Transparency
Building a trusted approach to AI requires enterprises to track data provenance and lineage and build models in a way that gives users confidence and control
How was Business this Year?
Some insights into how the partner businesses fared this year
-Dash 10, a Wireless DualBass Party Speaker
Portronics has introduced the Dash 10, a wireless dual-bass party speaker designed to elevate karaoke nights and social gatherings.
Post-Quantum Security-Enabled PIC64HX Microprocessors
Microchip Technology has announced the PIC64HX family of microprocessors (MPUs).