TechDogs’ Post

Pondering if the AI hype outpaces its real world impact? At R.B.Hall Associates, LLC, we aim to demystify this for small and medium-sized businesses. Let's reevaluate together. #BridgingTheAIgap

Nice work by Christopher Mims -- we're finally making progress in mainstream EDU on EAI... A small subset of AI called knowledge systems labs have been aware of this 'secret' for decades. My lab (where the underlying theorem for KYield manifested into the KOS) was one of very few KS labs in the world in the mid 90s, and our secret weapon was the leading learning network for thought leaders (GWIN). GWIN was a live experiment with hundreds of daily users including some of the smartest people in each discipline and industry--thousands of occasional members. The largest KS lab was probably at Stanford, which is where Deborah McGuinness was when we first ran across each other, and when she joined our advisory board. She then moved to RPI where she's been since. My late friend and early partner in KYield Russell Borland was also on our AB (key early employee at MSFT), as was the late Franz Dill from P&G, Robert Neilson (NDU & Army) and Garrett W. Lindemann Ph.D. (Roche, among others)-- all shareholders in KYield, Inc. With that background, let's dig a bit deeper. "Every company needs a ‘knowledge base’" True, but most will need several to meet the needs of the company, employees, and for security and compliance. "Every company I talked with mentioned that to get real value out of their shiny new generative AI systems—no matter the application—they needed to overhaul or double down on their strategy for feeding it the kind of data that today’s AI excels at processing—“unstructured” data." The latter is misleading. Rules-based AI systems require structure. Since the semantic web was never fully adopted (controlled by Google given search market power, together with Apple with phones), consumer LLM bots lack the descriptive language necessary to provide accuracy, IP protection, meaningful security, etc. Hence the big data movement where large companies boil the ocean to glean value. It worked well for surveillance, advertising, and marketing, but not for precision knowledge work needed for business, to protect IP, employees, customers and patients, or for compliance. Hence the KOS, the first universal EAI OS, which structures the digital workplace, pre-optimized for AI, and tailored to each mission. It does so with a rules-based structure, strong governance and security. Only then can LLMs and other self-generating models be run safely and accurately. Another myth to overcome. Microsoft and Salesforce (among most others), which are prominently featured in this article (not uncommon for the WSJ to be feature incumbent public companies), are not leaders in KS. They have some good people of course, but what isn't sufficiently understood is that the necessity to protect existing cash cows prevents incumbents from developing completely new systems like the KOS, and leading a new generation of technology.

The secret sauce to winning more government contracts: To foster AI adoption, contractors should start to leverage resources and references to enhance their understanding and implementation of AI technologies. The post The secret sauce to winning more government contracts first appeared on Federal News Network. #FedearlNewsRadio #News

The secret sauce to winning more government contracts: To foster AI adoption, contractors should start to leverage resources and references to enhance their understanding and implementation of AI technologies. The post The secret sauce to winning more government contracts first appeared on Federal News Network. #FederalNewsRadio #Innovation

Check out Andy McLoughlin's latest blog post on why we invested in SurePath AI, a platform that is revolutionizing #GenAI governance and enabling secure adoption without hindering innovation.

An article and discussion on the need for knowledge bases in AI systems, and the people who make them valuable.

AI adoption in taking off within enterprises. With the transformative power and potential of AI comes important responsibility around managing and governing usage. At LogicGate, we are delivering flexible, adaptive solutions and best practices to help clients quickly gain governance capabilities that meet today's needs and can quickly adapt to a fast moving, unknowable future. Learn more about our approach here. #GRC #AIGovernance #HolisticGRC #LowCode

The news is filled with stories of AI gone wrong, federal agencies are issuing fines, and the most comprehensive AI legislation — the EU AI Act — was approved last week. Global enterprises are now required to have AI Governance. But how can organizations gain control of and visibility into their AI initiatives without dragging projects down with red tape? In his latest blog post, David Trier lays out the process for and capabilities needed to quickly protect your organization from the risks of AI, without stymying innovation. It’s called Minimum Viable Governance, and it’s an essential roadmap for your AI Governance journey. Click below to learn how your enterprise can get started today. #artificialintelligence #aigovernance #generativeai #euaiact

As we delve into the latest advancements in AI technology, it's evident that small to medium-sized enterprises (SMEs) are wholeheartedly embracing this innovative wave.

In a Q&A with Forbes’ Megan Poinski, my colleague Andy Tay highlights a critical point for CIOs and organizations as they scale their AI investments: avoid going too fast, be intentional about bringing your workforce along in the adoption process, and leverage the investments and innovations of your partners. As proof, Andy points to the successful recent trial between Accenture and GitHub Copilot for Business from Microsoft, which uses Gen AI to suggest lines of code. After six months, 90% of our developers reported writing better code, and 95% learned from those suggestions. See the full Q&A here: https://lnkd.in/g4YfCniQ #AI #GenAI #CIOs #DigitalCore #Copilot