News, Articles, and Reports
Here are some of the latest significant developments in Artificial Intelligence (AI) from various entities as of October 2023:
Anthropic Investment: Anthropic, a notable AI research company, is in discussions with investors, including Google LLC, regarding a new funding round of $2 billion, following a recent investment from Amazon.
Microsoft’s AutoGen: Microsoft AutoGen is a novel AI system that helps developers write code by automatically generating software components. It aims to reduce the workload and errors in the software development process by automating repetitive coding tasks, thus improving efficiency and quality.
Visa’s $100 Million Fund in Generative AI: Visa announced a $100 million fund to foster the development and implementation of Generative AI technologies. This initiative is part of Visa’s broader effort to drive innovation in digital payment systems and financial services, aiming to enhance user experiences and security.
McKinsey Survey and Paper on Generative AI: McKinsey released a survey and a paper discussing the advancements and potential of Generative AI. The insights cover the technology’s ability to innovate and transform various industries by automating creative processes and generating new content or designs.
Mistral’s LLM Better Than ChatGPT: French AI startup Mistral unveiled its first large language model (LLM), which it claims outperforms others of its size and is entirely free to use. This development is seen as a counter to OpenAI’s ChatGPT.
ChatGPT Becoming Multimodal: OpenAI upgraded ChatGPT to include multimodal capabilities, enabling it to process images, and audio alongside text. This upgrade allows users to interact with ChatGPT using voice, images, and text, thus enhancing its utility and user experience.
Meta’s New Augmented Reality Glasses: Meta, in partnership with EssilorLuxottica, introduced a new generation of Ray-Ban smart glasses with improved audio, camera features, and over 150 different custom frame and lens combinations. These glasses are part of Meta’s broader effort to create augmented reality glasses, which are expected to launch in 2024. The augmented reality glasses are seen as a significant step towards Mark Zuckerberg’s vision of creating a more immersive metaverse.
Spotify’s AI Voice Translation: Spotify has launched a pilot program for translating podcasts into different languages using AI, in partnership with OpenAI. This feature is aimed at making podcasts more accessible to a global audience by providing “human-like audio” translations. The initiative is part of Spotify’s efforts to utilize generative AI to enhance its product offerings and is likely to foster a more inclusive podcasting community by breaking down language barriers.
Generating Hype: Does Everyone Need a Generative AI Strategy? – Part 1 – Interview with Kjell Carlsson, AI Evangelist and Head of Data Science Practice at Domino DataLab
Join Goran Cvetanovski, CEO and Founder of Hyperight, in an enlightening conversation with Dr. Kjell Carlsson, AI Evangelist and Head of Data Science Practice at Domino DataLab, as they delve into the fascinating universe of Generative AI (GenAI). In this first of two episodes, they navigate through the hype and reality of GenAI, discussing its strategic importance, real-world applications, and the tangible value companies are deriving from it.
In the interview, Goran and Kjell explore the world of Generative AI (GenAI) strategy development, as well as why and how companies are crafting their approaches in the midst of growing buzz around the technology. They look at where companies really stand in their GenAI experiments and weigh the actual value against the prevailing hype. The conversation also balances the act, discussing how businesses can smartly split their focus and resources between GenAI and traditional Data Science and Machine Learning (DSML) projects. Additionally, the interview navigates through the typical hurdles companies face on their GenAI path, offering insights and strategies to tackle them, all while addressing key questions related to the strategic, resource, and challenge aspects of integrating GenAI into today’s business landscapes.
Making Generative AI Real: How do we Operationalize GenAI Applications at Scale? – Part 2 – Interview with Kjell Carlsson, AI Evangelist and Head of Data Science Practice at Domino DataLab
This Part 2 of the interview with Dr. Kjell Carlsson, a seasoned AI Evangelist and Head of Data Science Practice at Domino DataLab, “Making Generative AI Real,” focuses on the practical aspects of operationalizing GenAI applications at scale, unraveling the complexities and challenges that organizations face in bringing GenAI from experimentation to reality.
The interview explores the pivotal questions and challenges hindering companies from extracting value from GenAI and understanding why building real-world GenAI applications is an uphill task. Kjell delves into the intricacies of outsourcing GenAI models, the limitations of prompt engineering and RAG, and why having capabilities for operationalizing GenAI applications is crucial. Goran and Kjell also explore the realm of LLMOps versus MLOps, discussing the key capabilities needed for operationalizing GenAI models and the implications of considering LLMOps and MLOps separately.
AI Afterwork Podcast
Season 7 of the weekly AIAW podcast is here with some new and old guests exploring the latest news and developments in Data and AI:
AIAW Podcast E099 – The state of digitalization and AI in Sweden – Maria Stockhaus – The guest is Maria Stockhaus, Spokesperson for The Moderate Party (Moderaterna party) on infrastructure and digitization issues. The conversation covers a wide range of topics, from Stockhaus’ background and experiences as a politician to the Moderate Party’s views on digitalization and AI compared to other political parties. We also discuss the state of digitalization and AI in Sweden compared to other countries, and how to drive change in politics regarding AI. The conversation gets even more interesting when we discuss how AI will influence education in the coming years and how politicians can be upskilled in this area. Stockhaus also shares her thoughts on the sector where AI could play a vital role, her fears about the abuse of AI, and how we can enable experimentation and innovation while safeguarding citizens’ privacy. The conversation ends with a discussion on the “AI divide” and the call for a moratorium on the development of AI models greater than GPT-4.
AIAW Podcast Episode 100 – The Legal aspect of AI – Claire Ingram Bogusz & Jannika Törnqvist – In this special episode, two distinguished guests – Claire Ingram Bogusz, Associate Professor in Information Systems at Uppsala University, and Jannika Törnqvist, Senior Legal Counsel at Knowit are joining the podcast. The episode dives into the complex world of AI and the law, exploring topics like IP rights, ethical considerations, and more. It also tackles tough questions like the impact of regulation on innovation and the potential benefits and risks of open-sourcing AI systems.
AIAW Podcast Episode 101 – Cybersecurity and the future of AI – Staffan Truvé – Thrilling conclusion of Season 6 of the Staffan AIAW Podcast! In Episode 101, the guest is Staffan Truvé, co-founder and CTO of Recorded Future. Dive into this absorbing journey as Truvé shares his inspiring tales, insightful wisdom, and visions of the future of technology and the role of AI in Cybersecurity.
AIAW Podcast E102 – The AI Update: The Latest News and Trends Uncovered – In this highly anticipated opening episode of season 7, the AIAW Podcast is back to fuel your AI curiosity with “The AI Update: The Latest News and Trends Uncovered”. The hosts sit down with a stellar panel of industry luminaries: Evelina Anttila, a powerhouse in the AI sector, co-founder of Justic, and a guiding force at Wellstreet; Luka Crnkovic-Friis, the mastermind steering the AI/ML initiatives at King; and Oliver Molander, a seasoned Data & AI/ML entrepreneur, and early-stage investor. Together, they delve deep into the pulsating heart of the AI world, shedding light on the latest developments, trends, and insider insights that are shaping the future of artificial intelligence. Tune in to stay ahead of the curve and kickstart a season of knowledge, innovation, and inspiration.
AIAW Podcast E104 – AI In Education – Anders Enström – Exploring AI in Education with esteemed guest, Anders Enström. Anders is a seasoned educator with 18 years of experience specializing in mathematics, science, and technology. Anders, who has worked in areas recognized as vulnerable, is passionate about transforming lives through inspiring learning processes, turning vulnerability into hopefulness. He is the author of the impactful book “Lose the Homework, Win the Student,” where he explores the dynamics of a digital classroom that allows students to showcase their knowledge and progress daily, challenging the conventional norms of mandatory homework.
AIAW Podcast E105 – Investing in Nordic AI – Rebecka Löthman Rydå – Guest is Rebecka Löthman Rydå, Investment Director at Inventure, a notable Nordic venture fund. With a rich history in the Nordic tech arena, Rebecka shares her journey into venture capital and her role at Inventure, shedding light on the Nordic AI startup market. The episodes explores the global standing of Nordic AI companies, the rush of tech giants towards generative AI, and how the Nordics are keeping pace. Rebecka divulges what she looks for in AI startups, the support Inventure provides post-investment, and the ethical lens through which investments are evaluated. We also get Rebecka’s take on emerging AI technologies.
Nordic DAIR Awards 2023 – 5th of December – Vasateatern, Stockholm and Online
Less than a week to nominate your peers or organization for the Nordic Data and AI Readiness (DAIR) Awards!
Is your organization at the cutting edge of data and AI innovation? Have you made substantial strides in accelerating data and AI initiatives within your organization, or perhaps made a notable impact on business and society through data and AI advancements?
If so, nominate your team and organization for the 3rd annual Nordic DAIR (Data and AI Readiness) Awards 2023.
Learn more about the awards and how to apply here: https://dairawards.com/
Data Innovation Summit – 24-25th April 2024 – Stockholm, Sweden
Next Wednesday is the traditional unveiling of the Data Innovation Summit agenda. The 2024 edition is scheduled for 24th & 25th April 2024 at Kista Convention Centre in Stockholm, Sweden. The event is bringing together the most innovative minds, enterprise practitioners, technology providers, start-up innovators, and academics, working with Applied Data Innovation, Data Science, Big Data, ML, AI, GenAI, Data Management, Data Engineering, Architecture, Databases, responsible AI, Industrial Analytics, in one place to discuss ways to accelerate AI-driven Transformation throughout companies, industries, and public organizations.
The 9th edition will cover a range of topics spread across 10 stages and 7 workshops aligned over a common theme “From data to value in the age of applied and generative AI, signifying the shift from data and AI exploration to data- and ai-value creation with applied and generative ai. By registering, practitioners will engage with over 300 speakers, benefit from 180+ TIP sessions, and connect with professionals across the globe, accelerating AI-driven transformation in their organizations.
Only 3500 tickets will released for this year’s event and you can buy tickets already on www.datainnovationsummit.com