Umair Rahim’s Post

Generative #ai has taken the world by storm, but enterprise adoption has been challenging. #hbr talks about how difficult it is and the key points are: 1. Technical Challenges: Integrating powerful generative AI systems into existing software architectures and workflows is a major technical hurdle. Issues like data security, model versioning, and handling edge cases need to be carefully addressed. 2. Organizational Inertia: Many organizations are resistant to change and have established processes that make adopting transformative technologies like GenAI difficult. Overcoming cultural barriers and re-thinking business models is necessary. 3. Ethical Considerations: The power and potential of GenAI raises important ethical questions around bias, privacy, intellectual property, and the societal impact of automating cognitive tasks. Developing governance frameworks is critical. Change is always hard in enterprise, and apply this technology is not any simpler. Reach out for our approaches! https://ow.ly/hRnk50QPTB0

Generative #ai has taken the world by storm, but enterprise adoption has been challenging. #hbr talks about how difficult it is and the key points are: 1. Technical Challenges: Integrating powerful generative AI systems into existing software architectures and workflows is a major technical hurdle. Issues like data security, model versioning, and handling edge cases need to be carefully addressed. 2. Organizational Inertia: Many organizations are resistant to change and have established processes that make adopting transformative technologies like GenAI difficult. Overcoming cultural barriers and re-thinking business models is necessary. 3. Ethical Considerations: The power and potential of GenAI raises important ethical questions around bias, privacy, intellectual property, and the societal impact of automating cognitive tasks. Developing governance frameworks is critical. Change is always hard in enterprise, and apply this technology is not any simpler. Reach out for our approaches! https://ow.ly/hRnk50QPTB0

AI disruption is landing in our lives and to keep abreast of what’s going on I went last week to different events held in Madrid. On Tuesday 13th, Google Madrid hosted a Mindstone event about GenAI. Four fantastic speakers explained first, how to set up a success story solving a non-typical LLM problem with this tool in the banking sector; second, the importance of personalization to get a good output with ChatGPT, in other words, how the context influences the results of instructions; third, how a big enterprise faces the implementation of AI to improve customer relationships and boost employees performance and how important is the development of SLM for not connected scenarios. Last but not least, the rational of human relationships with synthetic identities. A little sample of how polyhedral this technology is: it’s not just for engineers but also for anthropologists, accountants, philosophers, lawyers… New events are coming, follow this link to stay tuned: https://lnkd.in/d5qGCCTQ In a very different tone, ASCOM organized at ICAM (Ilustre Colegio de la Abogacía de Madrid) an event with a roundtable on Artificial Intelligence and Data Protection with well-chosen participants coming from different perspectives: AI supplier, Telco, Trust services provider and Publicity and Public Relationships representative. In a nutshell, AI normative is a challenge between transparency and IP protection, it also tackles the unbalanced reality of contracts with Large Vendors that give little or no room for negotiation. AI tools make possible scenarios unseen beforehand that may bring unprecedent lawful debates, several examples were mentioned in the session one of them about penal consequences for generating unlawful images. AI risks can evolve from limited to high-risk scenarios. What to do to be prepare for the challenge? Anticipating with a prospective thinking and educating with training and state of the art information. All this might be compared to a F1 competition, you need to solve problems and make improvements as the game keeps running. While entrepreneurs dream to be Ross Brawn and multinationals look for their Adrian Newey, all the AI market is trying figure out how the wind tunnel would look like to maintain this high-speed ecosystem.

From healthcare and banking to entertainment and manufacturing, companies in most industries have begun to cut their teeth on generative artificial intelligence (GenAI) software that drives efficiency, empowers decision-making and streamlines operations.  But whilst GenAI can offer many business benefits for the legal sector, like any technology, it has its considerations…   So, before jumping on the bandwagon, have you established guidelines to ensure standards around how safety, accountability, privacy, scientific practice and business are upheld as AI moves into the mainstream? Discover how to responsibly begin your journey towards generative AI applications via Legal Dive. 👇 #GenerativeAI #LegalSector #BusinessAI

In the swiftly evolving landscape of business and technology, tools like Chat GPT and other AI programs are becoming central players. These aren't just pieces of software; they're a testament to the boundless potential of human innovation. Rather than approaching them with trepidation, I embrace them as powerful allies in my quest for efficiency and innovation. Understanding and leveraging AI can be a game-changer for businesses, big and small. It's an exciting era, and by facing AI with curiosity, we're setting ourselves up for a future rich in possibilities. #EmbraceAI #FutureOfWork #DigitalTransformation

Craft exemplary support with listn.ai, powered by Chat GPT, providing 25% more attention to detail. Elevate your customer service to new heights. . . . . #artificialintelligence #ai #machinelearning #technology #customerservice #customerexperience #customersatisfaction #business #customer #happycustomer #customerappreciation #marketing #smallbusiness #sales #customerfeedback #review #customerreview

Weekend Reading, Watching, Listening Recommendations (July 28) Why do big companies get slow and inefficient?; AI & the automation of work; The energy transition: where’s the money going?; How the Netherlands Helps Other Countries with Their Water Problems

I recently completed Dror Poleg’s terrific course on AI for non-technical people. I came away marveling at the analytic capabilities (e.g., uploading a massive budget document or SEC filing or report and prompting ChatGPT to summarize the implications about something like real estate demand for the next year) and automating functions (e.g., prompting to build a table of the largest employers and what the return to office policies are). Both of these features will drive efficiency as they become embedded in how we work. Anyone reading this have examples of how private or public entries in real estate are doing new and different things to create value or evolve their business model? Questions on my mind: 1) how can AI better optimize how we use and occupy space? 2) how can AI improve building automation systems? 3) how can AI create better win-win outcomes in lease negotiations? 4) how can AI help us make better choices that reduce climate impact?

Over the next 14 ish weeks I'm going to be publishing "homework" assignments on Medium. This is for a class I created using ChatGPT titled "History of Modern Economic Thought." Today's response paper looks at the enclosure movement in Europe to demonstrate how privatization of the means of production excludes workers from the economy. With today's digital revolution concentrated in the hands of a few Big Tech companies, I think there are some important lessons to be learned as more and more AI and automated tools come online. You can read my article here: https://lnkd.in/gB-4QneX P.S. I'm using ChatGPT and Medium to "grade" myself, but I would love to know what you think. Drop a comment below.

Refine service efficiency with listn.ai using Chat GPT for an exceptional experience. Your customers deserve excellence, now with 30% more productivity. . . . . #artificialintelligence #ai #machinelearning #technology #customerservice #customerexperience #customersatisfaction #business #customer #happycustomer #customerappreciation #marketing #smallbusiness #sales #customerfeedback #review #customerreview