Content digest #20

News, Articles, and reports

2023 The AI Index Report – Sixth edition of the AI Index Report from Stanford Institute for Human-Centered Artificial Intelligence (HAI), led by the AI Index Steering Committee, an interdisciplinary group of experts from across academia and industry. The AI Index 2022 report reveals several key findings in the field of artificial intelligence. First, the production of significant machine learning models has shifted from academia to industry, with 32 models produced by industry compared to just three produced by academia in 2022. Second, AI performance improvement on traditional benchmarks is saturating, and new benchmarking suites are being developed. Third, AI can have serious environmental impacts, although new reinforcement learning models show that AI can also be used to optimize energy usage. Fourth, AI models are accelerating scientific progress. Fifth, incidents concerning the ethical misuse of AI are rapidly increasing. Sixth, the demand for AI-related professional skills is increasing across virtually every American industrial sector. Seventh, for the first time in the last decade, year-over-year private investment in AI decreased. Eighth, while the proportion of companies adopting AI has plateaued, the companies that have adopted AI continue to pull ahead. Ninth, policymaker interest in AI is on the rise. Finally, Chinese citizens feel the most positively about AI products and services, while Americans are among the least positive.

March 2023 Madness: Top 21 AI News and Updates! – The month of March 2023 has been no exception, with a plethora of mind-blowing AI news and updates emerging from around the globe. OpenAI launches APIs for ChatGPT and Whisper, Google Launches Bard AI Chatbot to Counter ChatGPT, UBC researchers develop AI to predict cancer patient survival, HubSpot Launches ChatSpot.ai, Ford Launched Latitude AI for autonomous driving, Google brought Al to Google Workspace, Microsoft Bing passes 100 million daily users, Apple tests AI in Siri with “Bobcat”, GPT-4 officially launched, Adobe launches generative AI model Firefly, Canva Launches ‘Magic’ AI Tools, GitHub launched Copilot X, ChatGPT released plugins, Microsoft 365 Copilot Launched, and much more.

Pause Giant AI Experiments: An Open Letter – Yoshua Bengio, Steve Wozniak, Max Tegmark, Elon Musk and 2500+ experts call on all AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4. The open Letter, list of signatories  and form can be found  here. 

AI Act: European Parliament headed for key committee vote at end of April – According to EURACTIV’s Luca Bertuzzi, the European Parliament is planning to vote on the AI Act on 26 April. 

AI Act: Risk Classification of AI Systems from a Practical Perspective – AppliedAI’s Managing Director Andreas Liebl and Head of Trustworthy AI Till Klein published a study of 106 AI systems in enterprise functions; it identified uncertainties for AI users based on the risk classification of the AI Act. The study found that 18% of the AI systems were classified as high-risk, 42% as low-risk, and for 40% no-risk.

Generative AI startups – Generative AI promises to kick off a new era of creativity. GenAI is an emerging frontier of AI models which are trained on large data sets of content media (text, images, audio, video) to create new text, audio, images and more. And it seams it is the new holy grail for VCs. Back in December 2022, Dealroom mapped over 250 generative AI companies. The landscape is expected to be much larger since the lauch of GPT4.  

Alibaba Launches Its Own AI Chatbot Technology To Be Used Across All Its Business Units – Alibaba Cloud, the cloud-computing unit of Chinese e-commerce giant Alibaba Group, unveiled on Tuesday its version of a ChatGPT-style product called Tongyi Qianwen.


Presto for the open data lakehouse – Interview with Girish Baliga, Chair at Presto Foundation. 

In this video interview with Girish Baliga, Engineering Manager at Uber & Chair at Presto Foundation, we dive into the world of the Presto open-source project. Girish provides a brief overview of what Presto is and discusses some of the key data engineering challenges that are currently being faced. He goes on to explain how Presto can help overcome these challenges and sheds light on the concept of the Open Data Lakehouse. Girish emphasizes the importance of Presto in this context and shares how Uber is using it.

From an OSS perspective, Girish provides insights into the Presto Foundation and the essential financial support it provides for the collaborative development process. Finally, he talks about the future of OSS Presto and any upcoming events. If you’re interested in open-source technology, data engineering, or the future of the Open Data Lakehouse, this interview is definitely worth a watch.

Unlocking the value of data products with Quantyca – Interview with Francesco Gianferrari Pini

In this exciting interview, Francesco Gianferrari Pini, Co-Founder at Quantyca, shares how his company is helping businesses become more competitive by unlocking the value of data. With over 100 successful projects, Quantyca specializes in data and metadata management, creating platforms that are responsive, resilient, and can evolve over time.

Francesco discusses the key challenges companies face when it comes to data management, including risk, FinOps, data products, and the value of data products. He reveals common mistakes organizations make, such as the silo between data science and data engineers, and shares strategies for overcoming these challenges. Don’t miss Francesco’s upcoming presentation at the Data Innovation Summit, where he will speak about “Data Contracts” and help businesses unlock the full potential of their data.

AI Afterwork Podcast – New Episodes

AIAW Podcast Episode 097 – Jussi Karlgren – Opportunities and Limitations of Generative Models and LLMs. – et ready for a thrilling episode today of the AI After Work (AIAW) Podcast)! In this episode, a special guest is joining us, Jussi Karlgren, Principal AI Scientist at Silo AI.In the episode we dived into generative AI, the limitations of current LLMs, and much more! We’ll also be discussing the current state of #ai research, the potential for automated driving and coding, and the future of AGI.   

AIAW Podcast Episode 096  – AI for Electrification – Georg von Zedtwitz Liebenstein & Sebastian Kaus – We explore the fascinating world of AI for Electrification, discussing the key drivers of the transport industry, and the need for data and AI to help drive progress and innovation. 

AIAW Podcast – Episode 095 – Kristofer Ågren – Productivization of Data – The conversation covers a wide range of topics, including the future of Telia division X in five years, the organization of Division X at Telia, customer-driven vs tech-driven development, building data products while still maintaining privacy of users, generative AI and LLMs, the future of driving and coding in an AI world, why some people are calling for a pause in the AI race, 

AIAW Podcast – Episode 094 – GPT4 Overview- Luka Crnkovic-Friis, Oliver Molander & Alexandra Kafka Larsson  Listen in as we explore the recent release of GPT-4, Copilot X, Google Bard, and Palm-E, and what this means for the future of AI. We also discuss reinforcement learning with human feedback, automated programming, and the path to AGI. Discover how the Alpaca was trained from ChatGPT, and explore the important topic of how AI and GPT-like models should be regulated.

AIAW Podcast Episode 093 – AI & Self-Driving Cars – Daniel Langkilde – we delve into the world of artificial intelligence and self-driving cars. Discover the origin of Kognic and learn how they collect the right data for machine learning tasks. We also explore the fascinating world of embedding space and the difference between symbolic computation and deep learning. 

Hyperight Attend

Data Innovation Summit  – 11-12th May 2023 – Stockholm, Sweden

We are happy to announce that over 2700+ participants have already registered for this year’s Data Innovation Summit 2023 (DIS23) in Stockholm this May. The initial 2500 tickets were sold a week ago. Additional 300 tickets were released from which only few tickets have remained. If you still need to register, this is a good time to do it. 

10 Reasons Why To Attend DIS23

Here are 10 reasons why you should attend the Data Innovation Summit:

  1. Size: It is the largest annual data and AI event in the Nordics and beyond, with more than 2,800 attendees.
  2. Education: You can choose from 200 presentations on 9 stages, 21 workshops, and 210 demos, all of which will provide a holistic view of the data-to-insight-to-action process.
  3. Networking: You will be in the company of 2,500 peers and 300+ experts from some of the most innovative companies in the Nordics and globally, giving you the opportunity to network with like-minded individuals.
  4. Experience: You can participate in day and evening activities, parties, and challenges, making the event not only informative but also fun.
  5. Case Studies: You can learn from case studies from some of the world’s leading data-driven companies and enterprises.
  6. Technology: You can see cutting-edge hardware and software technology presented by 105 exhibitors, some of whom are exhibiting for the first time in the Nordics.
  7. Hybrid Event: You can attend the event in person or online, depending on your preference, and also have access to on-demand content.
  8. Global Movement: You can be part of a global movement connecting the data, analytics, and AI community.
  9. Latest Developments: You can get an insider view on the latest developments in Data Science, Machine Learning, Data Engineering, Analytics, Data Management, Applied & Generative AI, and much more.
  10. ROI: You can gain insight into applied Data Science, Machine Learning, and AI practical case studies with clear ROI and learn how to make AI profitable.

Until the next time.

Hyperight Team

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