Building AI’s Future – SwissCognitive AI Investment Radar

As major players double down on AI, Coatue Management is leading the charge with a bold $1 billion fund to fuel cutting-edge advancements, while Amazon’s CEO, Andy Jassy, reassures investors that the company’s surging 81% capital expenditures on generative AI will yield returns. Across the globe, China’s DeepRoute.ai secures $100 million to accelerate smart driving technology adoption, signaling rapid growth in autonomous driving.

The Middle East and North Africa (MENA) region also see substantial commitments, with Google dedicating $15 million to boost AI skills, research, and infrastructure through its new AI Opportunity Initiative. Meanwhile, Nvidia and TSMC’s market values surged in October, reflecting the persistent demand for AI chips and the pivotal role of hardware in advancing AI capacities.

As Microsoft pledges an additional $10 billion toward CoreWeave’s GPU infrastructure and Elon Musk courts Middle Eastern investors to raise xAI’s valuation to $45 billion, the global AI landscape is abuzz with momentum. Yet, the wave of Big Tech investments is also testing investor patience as Meta, Amazon, and Microsoft’s hefty AI expenditures begin to weigh on short-term profitability.

Join and explore the critical investments and strategic shifts that define AI’s trajectory, from transformative tech developments to the challenges and promises that lie ahead for investors and innovators alike.

Der Beitrag Building AI’s Future – SwissCognitive AI Investment Radar erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Catch the latest AI updates in this week’s roundup:

AI’s potential for economic prosperity
New AI model detects autism in children with 80% accuracy
Elon Musk’s xAI debuts Grok-2 model, sparking ethical debates
OpenAI offers 1M free tokens for GPT-4o fine-tuning
AI predicting 70% of earthquakes
… and more!

Happy reading and #ShareForSuccess!

Warm regards,

The Team of SwissCognitive

Der Beitrag OpenAI Offers 1M Free Tokens For GPT-4o Fine-Tuning erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

AI Innovations, Investments, and Market Leaders – SwissCognitive AI Investment Radar

Today’s SwissCognitive AI Investment Radar takes you across a spectrum of developments and strategic shifts shaping the field of AI investments.

Venture capital flows are increasingly directed towards AI startups, with significant contributions from industry giants like SoftBank and SK Networks in newly established funds. Meanwhile, corporations are exploring innovative financial strategies, such as activity-based costing, to optimize their AI investments and ensure they are reaping meaningful returns.

The rapid evolution of AI is also transforming industries beyond tech, with generative AI now driving over half of cloud investments worldwide, and companies like Lenovo reporting strong growth fueled by AI and services expansion. Yet, as businesses push forward, the challenges of measuring AI’s return on investment (ROI) persist, with some enterprises reconsidering their approaches.

From LG Electronics’ forward-looking investments in AI startups to Iceland’s PLAIO revolutionizing the pharma supply chain with AI, this week’s roundup offers a comprehensive view of how AI is reshaping industries, driving innovation, and influencing global markets.

Previous SwissCognitive AI Radar: AI Unicorns and Strategic Shifts.

Our article does not offer financial advice and should not be considered a recommendation to engage in any securities or products. Investments carry the risk of decreasing in value, and investors may potentially lose a portion or all of their investment. Past performance should not be relied upon as an indicator of future results.

Der Beitrag AI Innovations, Investments, and Market Leaders – SwissCognitive AI Investment Radar erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

SwissCognitive Guest Blogger: Chris Sherrington – “AWS Summit 2024 – Scaling your AI Executive Toys”

This year’s Amazon Web Services (AWS) Summit in London was an excellent opportunity to catch up on the progress in Generative AI (Gen AI). The resounding message was clear: if 2023 was about Gen AI proofs of concept (PoCs), then 2024 is all about scaling up.

Before embarking on the journey of scaling any Gen AI PoC, you need to correctly answer two key questions. First, do we have the right approach to data and cloud infrastructure, the foundations for our AI initiatives? And second, are we actively ensuring that we scale something that truly adds value? Let’s take a look at each in turn.

Cloud and Data Capability

Public Cloud is the obvious place to turn the talking black box that wowed your CEO into something that could do things for a customer. Hence it was no surprise the Summit focused on demonstrating the power of Gen AI in AWS’s ever-expanding toolbox.

AWS Bedrock does a great job mounting several Foundational Models (FMs) in a way that makes them consumable and modular. These digital brains can be transformed into AI agents capable of choosing options and taking action. Native serverless functions like message queues identify providers, and API gateways give these brains the limbs and muscles to do real work.

But things could go awry if your organisation still perceives software as a capital asset. Gen AI is more like a perishable good, subject to evolution and demanding constant adaptation.

Anything you build will be outdated in a few cycles – right now that’s months. Plus, everything in the cloud rots faster to begin with. If your organisation has never built and managed a digital product, you will struggle with the pace of Gen AI – even to just maintain the status quo.

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To get Gen AI right, you need to invest not only in building a product but also a growing capability of people, skills, and tribal knowledge. Think of that investment as the cost of a gym membership. Embrace it as a lifestyle change. And don’t forget the basics of cloud engineering – that’s as big a mistake as skipping leg day at the gym.

Your Gen AI will obviously be powered by your data, but your data may not be ready. I’m not talking about sophisticated and neatly labelled training data. I mean fundamental business data: lists of customers, product catalogues, employee credentials, and so on. Clean, high-quality sources held on suitably performant platforms. Do not underestimate how important that is: the point was made and made again in every use case presented at the Summit.

Useful AI products require useful data products (or as close as you can get with your current architecture). If your data strategy is as basic as a reporting strategy on top of an application strategy, you will struggle to feed your AI capabilities.

Your data supply chain is the bottleneck that will limit your scaling. Try to first scale in an area with teams that care about providing good data directly from their functions – and help them do it better still. But there is a caveat.

The trap of scaling Low value

The path of least resistance often leads to the place of lowest value. Many Gen AI PoCs were done at the margins of their enterprises due to safety concerns and the organisational inertia that any intrapreneur knows too well. There is a real risk of scaling something that is not worth it.

For example, I see a lot of HR-related use cases: chatbots that help employees understand policies or book time off. Using your employees avoids the discomfort of subjecting your customers to the new technology.

But that is also exactly what every HR system SaaS provider is working on. Unless you are an HR system SaaS provider, you are not learning anything useful from that Gen AI experiment. Something closer to how you create value for your customers would be a better choice.

Do not entertain sideshows just because they tick the right tech boxes. If you cannot describe the customer-relevant value streams, you lack sufficient strategic situational awareness. And if you don’t know when you are winning, why are you playing?

Key take-aways

Mature customers stand to gain a lot by productising FMs with AWS Bedrock. However, realising that potential requires a technical focus on modern data strategy. And alongside, you need a clear connection between your enterprise strategy and real-world value streams to see which areas are worth pursuing. Without that focus and clarity, your Gen AI PoCs will remain in the toybox.

About the Author:

Chris Sherrington has 20 years of experience in Enterprise Architecture, Technology Strategy and Innovation Leadership, making new tech work with old tech.

Der Beitrag AWS Summit 2024 – Scaling your AI Executive Toys erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Worldwide And Local Investments and Innovations – SwissCognitive AI Investment Radar

The focus this week is the wide-reaching influence of AI, from the tech hubs in Silicon Valley and beyond to emerging markets making bold strides in AI adoption.

In this week’s roundup, we delve into significant investments like OpenAI’s Sam Altman funding green-energy initiatives to Oracle Japan’s massive investment in AI and cloud technologies. We see traditional giants like Bosch reinventing workforce skills through substantial AI-driven retraining programs, while new players like HealthSage push the boundaries of AI in healthcare with open-source platforms.

From Apple’s strategic expansion in Singapore to Vietnam’s ambitious plans with Nvidia, AI’s role as a cornerstone of future technologies is unmistakable. As we traverse these developments, we observe not just financial commitments but also strategic shifts that underscore the integral role AI plays in driving forward modern enterprises and public services.

Join us as we navigate the complexities and triumphs of AI investments across the globe, understanding how these investments are not just about financial returns but about pioneering a future by intelligent-driven technology.

Previous SwissCognitive AI Investments Radar: Global AI Ventures Shaping the Future.

Our article does not offer financial advice and should not be considered a recommendation to engage in any securities or products. Investments carry the risk of decreasing in value, and investors may potentially lose a portion or all of their investment. Past performance should not be relied upon as an indicator of future results.

Der Beitrag Worldwide And Local AI Investments and Innovations – SwissCognitive AI Investment Radar erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Join us for the latest AI insights and discussions in this week’s roundup:

Microsoft & Mistral AI debate raising questions
All about Sora, OpenAI’s game-changer in text-to-video
AI to detect depression from facial cues
Apple’s new direction from electronic cars to AI
AI and Investment synergy
… and more!

Happy reading and warm regards,

The Team of SwissCognitive

Der Beitrag Microsoft & Mistral AI Debate Raising Questions erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Copyright: venturebeat.com – “AI regulation: A state-by-state roundup of AI bills”

Within the past year, according to the document (which was compiled by summer clerk Caroline Kraczon), states and localities have passed or introduced bills “regulating artificial intelligence or establishing commissions or task forces to seek transparency about the use of AI in their state or locality.”

For example, Alabama, Colorado, Illinois and Vermont have passed bills creating a commission, task force or oversight position to evaluate the use of AI in their states and make recommendations regarding its use. Alabama, Colorado, Illinois and Mississippi have passed bills that limit the use of AI in their states. And Baltimore and New York City have passed local bills that would prohibit the use of algorithmic decision-making in a discriminatory manner.

Ben Winters, EPIC’s counsel and leader of EPIC’s AI and Human Rights Project, said the information was something he had wanted to get in one single document for a long time.

“State policy in general is really hard to follow, so the idea was to get a sort of zoomed-out picture of what has been introduced and what has passed, so that at the next session everyone is prepared to move the good bills along,” he said.

Fragmented state and local AI legislation

The list of varied laws makes clear the fragmentation of legislation around the use of AI in the US – as opposed to the broad mandate of a proposed regulatory framework around the use of AI in the European Union.

But Winters said while state laws can be confusing or frustrating – for example, if vendors have to deal with different state laws regulating AI in government contracting — the advantage is that comprehensive bills can tend to get watered down.

“Also, when bills are passed affecting businesses in huge states such as, say, California, it basically creates a standard,” he said. “We’d love to see strong legislation passed nationwide, but from my perspective right now state-level policy could yield stronger outcomes.”[…]

Read more: www.venturebeat.com

Der Beitrag AI regulation: A state-by-state roundup of AI bills erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.