Indranil Bandyopadhyay

Managing data governance in the era of AI https://lnkd.in/d3fwaYNe Petrus Keyter | Consultant | Data Governance | PBT Group | As artificial intelligence (AI) becomes increasingly integral to business operations, data governance is essential to ensure the ethical and effective use of this technology. Integrating AI responsibly into business processes must be an organisational priority. Recently, I was involved in foundational work at a start-up client where the focus was on establishing data governance from scratch. This entailed aligning data governance with the company’s strategy of prioritising customer data privacy and ethical data handling... #data #governance #privacy #ethics #ai #gdpr #ml #metadata Petrus Keyter, CDMP, MDQM PBT Group

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Reliance - Data & AI - LAUNCH ANNOUNCEMENT: “Leading the way in responsible #Data and #AI innovations” Today, we are grateful to announce the launch of RELIANCE, a pioneering organization at the forefront of #Data & #AI Governance, #Risk, and #Compliance. Founded by Koen Mathijs, Jens Meijen and myself RELIANCE is dedicated to empowering businesses to harness the full potential of data and AI technologies responsibly and innovatively. Founded on the principle that the transformative power of data and AI should be accessible and safe for all, Reliance - Data & AI offers robust #governance frameworks that not only accelerate innovation but also adhere to the highest standards of integrity and compliance. As founders, our goal has always been to build a platform where companies are empowered to innovate without the fear of crossing ethical or legal boundaries. Reliance - Data & AI is our commitment to that vision, providing solutions that manage risks and compliance so businesses can focus on growth and innovation. Operating from Corda Campus / Corda INCubator at Hasselt, RELIANCE serves a wide range of industries with tailor-made solutions that address the unique challenges and opportunities of each sector. Whether enhancing data security, ensuring compliance with global regulations and standards, or embedding responsible AI practices, RELIANCE equips organizations with the tools they need to succeed in a data-driven future. Join us as we lead the charge in transforming the landscape of data and AI, fostering a future where technology and ethics converge to create a more transparent and responsible digital age. Discover more about how RELIANCE can transform your approach to data and AI governance by visiting our website at re-liance.eu!

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Will Artificial Intelligence (AI) Redefine the Role of Turnaround Practitioners? The role of Artificial Intelligence (AI) in shaping the future of Certified Turnaround Practitioners (CTPs) is poised to be transformative, particularly in enhancing access to legal and financial information. As the landscape of business and finance evolves, CTPs face increasing pressure to navigate complex scenarios efficiently and effectively. AI technologies offer unprecedented opportunities to streamline processes, leverage data insights, and optimise decision-making in turnaround management. This essay explores the multifaceted role of AI in the future of CTPs, focusing on its impact on accessing legal and financial information. Read more about how AI is revolutionising turnaround management: #turnaround #turnaroundmanagement #ctp #tma #eactp #AI #artificialintelligence #resolution #futureroleofAI #tmaUSA #tmaSA #tmaaustralia Tony Groom Tim M. Mark Blayney Nicholas R. Andrew J Pepper Adrian Doble Adam Plainer Johnny Abraham FCA Alan Tilley Scott Stuart Allen Wilen James Poole Jan Adriaanse Richard Heis Karien Ris Andrew Amos Neil Chesterton Lydia Lloyd Alain LE BERRE Kees Lieve Boudewijn Wellink Maria Pombo  Rebecca Walker Joanne Rumley Marykay Fuller

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Who actively monitors causal relationships in their organization? Who knows what causal relationships are? 👇 --> Causal relationships reveal how one action or variable directly influences another. --> Identifying these connections allows for more accurate predictions and effective problem-solving. --> In Strategy Management, understanding causal relationships can lead to more informed strategies and tactics. Causality is the hidden thread that connects events and outcomes. If that thread is unknown, outcomes will always be at risk. Strategy Maps identify causal relationships. Who here uses Strategy Maps?

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How I Mitigate the 4 Risks of Gen AI as an Interim CTO. Generative AI presents four major risks. Some of them are intentional while others are accidental. Some are created others consumed. 1. Misuse involves the deliberate exploitation of AI for harmful activities like scams and misinformation. 2. Misapplication occurs when AI produces inaccurate outputs, such as false information, due to its tendency to prioritize plausibility over accuracy. 3. Misrepresentation refers to the purposeful use of AI-generated content by third parties despite its questionable authenticity. 4. Misadventure happens when individuals unknowingly consume and share misleading AI content, believing it to be real. How I Mitigate Misuse and Misapplication? I help organizations to establish clear AI principles aligned with their values, watermark their AI-generated content and create controlled AI environments. This ensures transparency and control over AI outputs. For example controlled environments allow for customization and fine-tuning of AI tools, enhancing accuracy and reducing risk of hallucinations. How I Mitigate Misrepresentation and Misadventure? I support them to provide "AI training" for their employees and implement validation processes. Training programs raise awareness about AI biases and safe usage, while validation systems cross-check AI outputs for accuracy. Sounds easy in theory, but is similarly difficult in practice as implementing and executing security training program. This helps organizations manage the risks associated with consuming AI-generated content, safeguarding their reputation and ensuring responsible AI use. #GenerativeAI #AIethics #AIsafety

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Watch Distinguished VP Analyst Mary Mesaglio dissect what the 2024 Gartner CEO Survey revealed. Comfort with risk taking is inherent in the CEO role — and that absolutely extends to generative AI, according to the 2024 Gartner CEO Survey. Explore the executive’s guide to understanding, implementing and planning for the future of GenAI: https://gtnr.it/3VGipEZ #CEO #GenerativeAI #GenAI

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Super interesting seeing #GoogleIO with #Gemini today vs #OpenAi and #Gpt4o yesterday. https://lnkd.in/dNXGBwvA Multi-modal definitely the hot space. OpenAi launched. Google showed a pilot. Both focusing on voice and video as the new interface. Gemini reviewing code from live video is mind blowing. Education clearly a focus - Google showing voice interaction on the back of NoteLM Huge differentiator for Google is their context window - they announced consumer availability of their 1m token context window and expanded the Google Gemini Pro context window to 2m tokens. Honestly, in my experience, this completely differentiates Google from the competition. Some mention of Gemini agents. Agentive workflow is IMHO the biggest revolution ahead. Gemini agentic workflows to offer consumers easy return of purchases etc will be a game changer. More example in IO than launch. Clearly Google is focusing on incentivising consumers to stay on their platform and interact more to fight any flight to OpenAI, Microsoft and Meta. So lots about Gemini integration with Google Photos and Workspace. New evolution of Google search with more Gemini integration. Generative capability for video, photos and music announced - these look mind blowing. Google showed lots of Gemini integration into Gmail and Workspace - personalized AI integration. Also a prototype of an AI Gemini team assistant building a collective memory of team interaction. IMHO, this is Google launching Retrieval Augmented Generation (RAG) and agentic workflow to keep users on platform. Google announced Gemini Advanced with planning. Planning has been highlighted as the Achilles heel of current AI. This will be a big play for gmGoogle leveraging their view of your personal data. There is the Gemini app too - like ChatGPT. Again natively multi-modal. Personalized AI assistants. But Google launched the equivalent of custom Gpts called Gems. Then probably Google's advantage - the Android install base. Announcements of coming changes with AI at the core (you can already replace Google Assistant with Gemini). They also announced "Circle the search" - effectively allowing you search based on circling on screen. This also launching immediately. Gemini integration on the phone is also fully context aware (the open document, etc). The announcement of Gemini Nano with multi-modality coming to Android is AI / LLM coming to device. This is the game changer for responsiveness, privacy and poor data connectivity in remote / poor locations. This is where Google can trump Open AI and leads Apple's lagging AI. Both Google and OpenAI showing massive incentives for consumers to provide huge amounts of Multi-modal training data. It's unclear if Google was more cautious vs OpenAI jumping the gun on Multi-modal - ChatGPT severs appeared to struggle to keep up with audio since last night. Lots of what Google announced were pilots and gradual roll outs.

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AI Coaching, A Pragmatic/Basic EU AI Act Compliance Conversational AI exercise. This explores using an AI to practice my 4 stage, safe and slow approach to adopting AI into Coaching while flagging high and unacceptable level risks outlined by the EU AI Act that must be mitigated against in relevant scenarios. Copy the prompt in from the document attached and run it through an AI like ChatGPT or Perplexity.ai Edit the scenario in the brackets < ...> if you want to try out your own scenario. For an example see: https://lnkd.in/dVpjCSpB This is an example of an exercise done in the Foundation course in AI Coaching currently being run by me: https://lnkd.in/dKBmteEc

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I think we need more retrospective wisdom to keep AI on (the right) track. At the very least it should help move forward to innovate while implementing and maintaining an ethical framework to regulate. Regulation is more relevant and acceptable after innovation has been put into practice. In that order.

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👏Despite regulatory, cultural and educational challenges the EU keeps investing massively in digital transformation to stop being - or to be less - lagging behind global tech giants. Two countries stand out from that perspective, i.e. Italy for the amount of invested money and Denmark for its focus on AI (thanks to a remarkable R&D network). 👉More facts and data in this article.

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Top 5 Hubs for Senior AI Talent in 2024! 💡 Curious about where to find the brightest minds in AI? 🌎 Thanks to Savannah’s Talent Intelligence practice, here are the top five hotspots for senior AI talent. 👉 https://lnkd.in/editWKTt #Leadership #NextGen #TalentIntelligence #AI #ExecutiveSearch 

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Some interesting insights here from Seth Rogers on the topic of responsible Generative AI - which is front of mind for a lot of organisations at the moment.

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There’s A Gap Between Financial Services’ Interest In GenAI And Reality The rapid ascent of generative AI (genAI) presents unprecedented opportunities and significant challenges for financial services (FS) executives exploring its potential for enhancing personalized digital experiences, customer service, fraud management, and operational efficiency. The FS industry has an optimistic outlook on genAI, anticipating that it will drive revenue growth and productivity, but there is a critical gap in genAI-specific privacy and risk assessments among FS companies. Additionally, there is a skewed focus on genAI exploration that’s led predominantly by tech teams rather than business units. Read this report for details: https://lnkd.in/e5zy9mKe

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We are pleased to share that a new article by Bryan Hill, Chief Technology Officer, Life Sciences at Cognizant, has been published in Contract Pharma: "Generative AI: Preparing for the Quantum Revolution in Life Sciences." Bryan advises life sciences organizations to prepare for the quantum computing revolution by learning from what is currently happening in the industry with respect to the practical deployment of AI for solving complex problems. He examines several key themes: The transformative role of quantum computing and generative AI in accelerating drug development processes The ability of generative AI tools to automate tasks such as research and protocol writing, leading to substantial time and cost savings The significance of implementing generative AI into businesses gradually, starting with fostering a culture of AI literacy and developing frameworks that guide its deployment effectively #LifeSciences #GenAI #GenerativeAI #QuantumComputing

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