Content digest #28

Hyperight Read

Source: Midjourney

9 Takeaways from the Ninth Edition of Data Innovation Summit! Yet another fantastic edition of the biggest data, analytics, and AI event in the Nordics and beyond – Data Innovation Summit! Spanning over two days, this hybrid event showcased cutting-edge insights. Experts in data, analytics, and AI showcased their expertise through world-leading case studies. This experience included both pre- and post-event activities, ensuring participants stay updated on the latest industry trends! The Data Innovation Summit goes beyond numbers, emphasizing connection and collaboration. From AI-driven insights to revolutionary data analytics, this summit offered a comprehensive view of the latest trends and technologies.

Recap: Day 1 at Data Innovation Summit 2024: What a fantastic start! Day one of the Data Innovation Summit is officially over, and Kistamässan was overflowing with energy! At every turn, attendees seized the opportunity to exchange knowledge and build meaningful connections. Whether you’re drawn to data, analytics, or AI, this summit provides a platform that caters to all! The summit’s first day was truly a blast. Whether you joined us in person or not, come together with us as we relive the highlights of day one!

Recap: Day 2 at Data Innovation Summit 2024: Yet another day filled with amazing moments has come to an end! Day two of the Data Innovation Summit marked the conclusion of an unforgettable event! Just like the exciting kickoff at day one, day two provided even more insights and networking opportunities. Let’s celebrate the highlights and cherish the connections we’ve built!

The Power Grid of Tomorrow: The AI Divide: In technology, there are a few subjects that evoke as much interest as artificial intelligence. The appeal surrounding AI often stems from its representation in the media. And the perception of it being the domain of a select few tech giants. But despite its outward simplicity, there’s a depth of complexity that demands a closer look. In this article, we dive into a recent episode of the AIAW Podcast. This episode emphasizes the importance of demystifying AI. Joining us in this episode are Kiryl Zhdanovich and Jonatan Raber from Fever, alongside Henrik Göthberg.

Video Interviews

Video Equipment
Source: Midjourney

The Future of AI-Enabled Experiences – Interview with Dr. Ather Gattami, Bitynamics: In this interview, we spoke with Dr. Ather Gattami, Leading Swedish AI Expert, AI Researcher at Bitynamics. Dr. Ather was a keynote speaker at the Data Innovation Summit MEA 2024 in Dubai. In this conversation, we delve into LLMs and their applications and explore key aspects related to AI systems – LLMs. Additionally, we examine the broad applications of LLMs beyond chatbots, considering their role in customer service. We also discuss retrieval-augmented generation (RAG) and fine-tuning on-premise to tailor these models for specific needs. Lastly, we ponder the limitations of RAG, particularly in tasks requiring original, unseen data. Stay tuned for more insights from Dr. Ather during his presentation at the Data Innovation Summit MEA 2024!

Navigating the Next Wave: Generative AI at Accenture – Interview with Mattias Aspelund & Julia Falk, Accenture: Join us for an interview with Mattias Aspelund, Generative AI Architect and Director, and Julia Falk, Generative AI Engineer at Accenture Nordics! Dive into AI as they discuss their current projects in GenAI and RAG (Retrieval-Augmented Generation). Mattias and Julia explore challenges and strategies around deploying LLMs and the expansive applications of RAG. This discussion covers ethics, data governance, and change management in achieving sustainable AI innovation. Don’t miss this conversation about the dynamic AI landscape at Accenture and the exciting opportunities it presents!

Next-Generation AI: Deeper Experiments – Interview with Sina Nek Akhtar, Google Cloud: In this exclusive Hyperight Data Talks interview, we had the opportunity to speak with Sina Nek Akhtar, Tech Lead, Data Analytics and ML at Google Cloud! During our discussion, we cover: New AI developments that enable deeper experimentation. How multimodality lets AI process information like images, videos, and code, giving it superhuman perception. Moreover, how Google Gemini‘s expanded context windows enhance AI’s ability to summarize thousands of pages of documents. And analyze tens of thousands of lines of code. How to choose the right tool for the job and why we should think platform-first rather than model-first.

Decoding Data Modeling: A Pillar of Modern Data Stacks and AI Cost Efficiency – Interview with Serge Gershkovich, SqlDBM: In this interview, we speak with Serge Gershkovich, Product Success Lead at SqlDBM! We talk about data modeling in relational databases within the modern data stack. We explore how it contributes to cost savings in AI implementation. Also maintenance and ensuring consistency while avoiding rework in AI-driven systems. Additionally, we discuss key differences between relational and transformational data modeling and their respective impacts on AI development. We also touch upon challenges encountered during the transition between these stages. Finally, we consider the future evolution of data modeling alongside advancements in AI technologies and cloud platforms.

Operational Data Science: Ensuring ML Models Can Deliver Real-world Impact – Interview with Dr. Indy Leclercq, Talabat: In this interview, we speak with Dr. Indy Leclercq, Manager Data Science at Talabat! We talk about operational data science, ensuring ML models drive impact in food delivery. Then, we delve into the journey from astrophysics to data science and its influence on problem-solving. We explore challenges in implementing ML models in the UAE market. Looking forward, we discuss potential applications of gen AI for platforms like Talabat in the MENA region. Lastly, he emphasizes the importance of understanding technologies like generative AI in making an impact in this market.

News, Articles, and Reports

News, Articles, and Reports
Source: Midjourney

OpenAI GPT-4o — breakthrough voice assistant, new vision features and everything you need to know: OpenAI’s Spring Update event delivered on its promise of magic, introducing the new GPT-4o model for both the free and paid versions of ChatGPT. Along with a natural and emotionally intelligent voice assistant and vision capabilities! While the event left some updates undisclosed, it provided plenty to excite the AI enthusiasts in attendance. Among the highlights was the fully multimodal GPT-4o, capable of understanding speech, images, and video content, and responding in speech or text.

Meet Amazon Q, the AI assistant that generates apps for you! Amazon Web Services (AWS) continues to expand its generative AI solutions for streamlining business operations. Today, AWS announced the general availability of its AI assistant, Amazon Q. Initially introduced in November 2023, Amazon Q is now accessible to developers and businesses. Additionally, AWS released free courses on utilizing the AI assistant. And introduced a new Amazon Q capability, currently available in preview.

Google will soon start using GenAI to organize search results pages: At the 2024 Google I/O developer conference, Google announced its plan to incorporate generative AI into organizing entire search results pages for specific queries. This addition complements the existing AI Overview feature, which provides concise summaries of search topics. The AI Overview feature is now generally available after a period in Google’s AI Labs program. According to Elizabeth Harmon Reid, head of Google Search, the incorporation of generative AI into search results will have significant implications for online publishers.

A new era in neuroscience with generative AI: Researchers developed a groundbreaking model called Brain Language Model (BrainLM) using generative artificial intelligence. This model maps brain activity and its implications for behavior and disease. BrainLM leverages 80,000 scans from 40,000 subjects to create a foundational model. As such, this model captures the dynamics of brain activity without the need for specific disease-related data.

AI ethics surpass human judgment in new moral turing test: A recent study revealed that when individuals are given two solutions to a moral dilemma, the majority tend to prefer the answer provided by AI over that given by another human. The recent study, conducted by Eyal Aharoni, associate professor in Georgia State’s Psychology Department, was inspired by the explosion of ChatGPT and similar LLMs. “People will interact with these tools in ways that have moral implications, like the environmental implications of asking for a list of recommendations for a new car. Some lawyers have already begun consulting these technologies for their cases, for better or for worse. If we want to use these tools, we should understand how they operate. Their limitations, and that they’re not necessarily operating in the way we think when we’re interacting with them.”

Apple will revamp Siri to catch up to its chatbot competitors: Apple plans to announce that it will bring generative AI to iPhones after the company’s most significant reorganization in a decade. Apple’s top software executives decided early last year that Siri, the company’s virtual assistant, needed a brain transplant. The decision came after the executives spent weeks testing OpenAI’s new chatbot, ChatGPT.

AI is creating new roles and skills in data and analytics: A recent Gartner survey found that 67% of mature organizations are creating new roles for generative artificial intelligence (GenAI), with 87% of these organizations having a dedicated AI team. However, a 2024 survey of 479 chief data and analytics officers (CDAOs) revealed that a lack of skills and staff is a major roadblock to the success of their teams. With 53% of CDAOs surveyed having already deployed GenAI or committed to piloting it in the next six months, the need for specific capabilities within D&A teams is growing. Data engineers, data scientists, and machine learning (ML) engineers are already essential positions. However, CDAOs should also consider nascent roles to meet the increasing demands of AI adoption.

Big data and analytics: market size, share and growth analysis for 2024-2033: The global market reports from The Business Research Company have been updated with the most recent market sizing data for 2024 and projections extended to 2033. The Business Research Company’s “Big Data and Analytics Global Market Report 2024“ is a comprehensive source of information that covers every facet of the market. As per TBRC’s market forecast, they predict that big data and analytics market size will reach $195.68 billion in 2028 at a compound annual growth rate (CAGR) of 13.3%. The growth in the big data and analytics market is due to the growing investments in BI, data analytics tools. It is expected that the Asia-Pacific region will hold the largest big data and analytics market share.

AI After Work Podcast

AIAW Podcast
Photo by Hyperight AB® / All rights reserved.

AIAW Podcast E126 – AI, Learning & Assistants – Sofie Nabseth: Join us in episode 126, featuring Sofie Nabseth! Sofie is a key figure at Sana, an innovator in AI and learning technologies. In this episode, we delve into Sofie’s experience leading global marketing initiatives and her current role in business development. We discuss her commitment to empowering women and girls in AI through her work with the non-profit Women In AI. With an impressive background in Industrial Engineering from The Royal Institute of Technology, Sofie shares her insights on the cutting-edge technology behind Sana AI.

AIAW Podcast E128 – Generation AI – Alexander Noren: Join us in Episode 128 of the AIAW Podcast as we welcome Alexander Norén! Alexander is a journalist, news anchor, and economics reporter at SVT. In this episode, we dive into the “Generation AI” series, exploring the transformative impact of artificial intelligence across various sectors. Alexander shares his journey through the series. Whether you’re intrigued by AI as a creative partner or concerned about its implications for the future, this episode offers a discussion on the possibilities AI holds for shaping a dystopian or utopian future!

Hyperight Attend

Data Innovation Summit 2024 in Stockholm
Photo by Hyperight AB® / All rights reserved.

tpo33 Events

The CAIO tpo33 is tailor made for every practitioner or organization working with or interested in learning how to maximize the ROI of their AI initiatives and function. The event is created for Chief AI Officers, CxOs, or senior managers who are leading the AI initiative and strategy in their organization.

Chief AI Officer – tpo33 event: 29‎th of May 2024, Berlin

Chief AI Officer – tpo33 event: 4‎th of June 2024, Stockholm

Data Innovation Summit ANZ 2024 – 17th of October, 2024

The Data Innovation Summit is an influential annual data and AI event. It brings together the most innovative minds, enterprise practitioners, technology providers, start-up innovators and academics, working with Data Science, Big Data, ML, AI, Data Management, Data Engineering, IoT and Analytics, in one place to discuss ways to accelerate AI driven Transformation throughout companies, industries and public organizations.

The Data Innovation Summit ANZ edition is constructed so it equally addresses all the elements of data-driven and AI-innovative business: data, people, processes and technology. The event is built to be both business and technical, practical and inspirational, realistic and futuristic, educational and exciting, regional and global, live and digital, general and niched, inspiring and influential. It is showcasing some of the best data-driven innovative projects, products, business ideas and technologies, presented by some of the world’s most advanced and innovative organizations.

Stay tuned for the Chief AI Officer tpo33 events in Berlin and Stockholm, as well as the Data Innovation Summit ANZ 2024!

Until next time,

Hyperight Team

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