New Content Linked to the World of Data and AI

Welcome to another Hyperight.com Monthly Newsletter! In this June newsletter, we cover AI and its rapid advances due to computing power. Its future could be highly beneficial or detrimental. Small Language Models (SLMs) revolutionize AI with efficient, versatile natural language processing, optimized for resource-limited settings. AI, often seen as the domain of tech giants, is demystified by experts in the AI After Work (AIAW) Podcast . The growing demand for AI technology necessitates sustainable energy solutions. Aditya Jain discusses cost-effective methods to run Large Language Models (LLMs) on a single GPU at the Data Innovation Summit 2024.

Apple integrates ChatGPT into Siri for enhanced AI. Meta introduces AI-driven ad targeting for businesses on WhatsApp. Google adjusts AI Overviews due to erroneous responses. Studies show GPT-4 exhibits deceptive behavior in 99.16% of test scenarios. Microsoft Fabric accelerates data analytics adoption, offering seamless access to diverse data formats across organizations. AI After Work Podcast Episodes: Sofie Nabseth discusses AI in learning and empowering women. Cassie Kozyrkov explores AI product development. Alexander Norén examines AI's sector impacts in "Generation AI." Emma Storbacka talks about AI in digital marketing and sales. Hannes Bernhardsson discusses AI's future in the music industry with Songfox.

Data2030 Summit 2024: Focuses on transformative data management and AI, featuring international speakers and interactive sessions, held in Stockholm.

Data Innovation Summit ANZ 2024: A major event for AI and data innovation, bringing together experts to discuss AI-driven transformation, held in Melbourne.

Nordic Data Science & Machine Learning Summit 2024: Addresses AI implementation challenges with dedicated tracks on strategy, ML, MLOps, and infrastructure, held in Stockholm.

Hyperight Read

Future Outlook on AI: Embracing Change for a Brighter Tomorrow: Beyond doubt, artificial intelligence has become one of the most transformative forces of our time. Today, people get to work on some of the most exciting things humanity has ever seen. Some even describe AI as “potentially bigger than fire,” highlighting its profound impact on the future of humanity. The recent stream of AI advancements is largely due to improvements in chipsets and computing power. Despite this acceleration, significant developments take time, and the human factor remains a primary limitation to the pace of progress. Could artificial intelligence become our best friend or our worst enemy?

Breaking Barriers: Small Language Models and Accessibility of AI Language Processing: In recent years, small language models (SLMs) have sparked a revolution in AI, providing striking efficiency and versatility in natural language processing. Optimized for efficiency in resource-limited settings, these compact tools are reshaping AI-driven language processing, spanning text generation, sentiment analysis, and translation. Their edge computing capability reduces latency and enhances privacy, making them adaptable to specific industry needs as technology evolves. Say goodbye to bulky computers and hello to small language models (SLMs), compact yet powerful AI tools that handle linguistic tasks, even on low-power devices!

The Power Grid of Tomorrow: The AI Divide: In technology, there are a few subjects that evoke as much interest and apprehension 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 an episode of the Artificial Intelligence After Work Podcast. This episode emphasizes the importance of demystifying AI. Joining us in this episode are Kiryl Zhdanovich and Jonatan Raber from Fever, alongside Henrik G?thberg.

Lean, Mean, Green Machines: Optimizing AI for Energy Efficiency: As AI technology advances, the industry is actively working to meet the increasing demand for electricity and water to support the servers powering this innovation. A standard DGX computer, the gold standard for AI tasks, consumes more than 10KW of power. Big Tech is expected to purchase millions of these systems this year, surpassing the power usage of New York City. With this comes the responsibility to find sustainable ways to manage energy consumption. Researchers and engineers are already working on creative solutions to mitigate the environmental impact.

Large Language Models: How to Run LLMs on a Single GPU: The rise of Large Language Models (LLMs) such as GPT-4 and Gemini Ultra comes with increased costs associated with their training and deployment. “With training costs reaching $78 million for GPT-4 and $191 million for Gemini Ultra, the need for efficiency in LLM deployment is more critical than ever.” states Aditya Jain as a speaker at the ninth annual Data Innovation Summit in Stockholm. In this article, we take a deeper look into a presentation at the Data Innovation Summit 2024. This talk, led by Aditya Jain, Applied Research Scientist at Meta Platforms, tackles the feasibility of running Large Language Models (LLMs) on a single GPU, offering cost-effective alternatives to reduce costs while maintaining performance.

News, Articles, and Reports

Apple brings ChatGPT to iPhones in AI overhaul: Apple is to boost its Siri voice assistant and operating systems with OpenAI's ChatGPT as it seeks to catch up in the AI race. The iPhone maker announced the Siri makeover along with a number of other new features at its annual developers show on Monday. It is part of a new personalized AI system - called "Apple Intelligence" - that aims to offer users a way to navigate Apple devices more easily. Updates to its iPhone and Mac operating systems will allow access to ChatGPT through a partnership with developer OpenAI. ChatGPT can also be used to boost other tools, including text and content generation.

Meta's WhatsApp launches new AI tools for businesses: Meta opens new tab launched its first AI-driven ad targeting program for businesses on WhatsApp, as it tries to wring revenue out of the popular chat service, the company announced on Thursday at a conference in Brazil. CEO Mark Zuckerberg announced the new tools in a video which was exhibited during the event. The announcement marks a shift for WhatsApp, an encrypted messaging service that heavily touts its privacy credentials and has long eschewed the types of targeted advertising tools that underpin Meta's other apps, like Facebook and Instagram.

Google makes adjustments to AI Overviews after a rocky rollout: Google is making some changes to its AI Overviews, after the artificial intelligence-driven search feature gave what the company calls "odd and erroneous" responses to people's online searches. AI Overviews were introduced last month at Google's annual I/O developer conference. Now, when people use Google Search to find information on certain topics, a box of AI-generated text appears at the top of the search results, annotated with links to external websites. Traditional search results appear below the AI Overviews, marking a major shift in how Google presents information.

AI Systems Are Learning to Lie and Deceive, Scientists Find: "GPT- 4, for instance, exhibits deceptive behavior in simple test scenarios 99.16% of the time." Two recent studies — one published this week in the journal PNAS and the other last month in the journal Patterns — reveal some jarring findings about large language models (LLMs) and their ability to lie to or deceive human observers on purpose.

New Insight Service Accelerates Data Analytics Adoption with Microsoft Fabric: A Microsoft Azure Expert Managed Service Provider and Featured Partner for Microsoft Fabric, has launched a fast-start service that accelerates the adoption of data analytics across the enterprise through the use of Microsoft Fabric. Companies seeking to implement generative AI and analytics often struggle to access the necessary data due to its various formats and locations within the organization. A data fabric enables access to all data without requiring relocation to a different environment.

AI After Work Podcast

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 artificial intelligence 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 a background in Industrial Engineering from The Royal Institute of Technology, Sofie shares her insights on the technology behind Sana AI. Tune in to understand how AI is transforming learning and what the future may hold in the age of AGI!

AIAW Podcast Fireside Chat with Cassie Kozyrkov: How organizations Effectively Develop & Deploy AI Products to Achieve Business Outcomes: Join us for an enlightening Fireside Chat at the Data Innovation Summit 2024! In this talk, Cassie engages in conversation with the esteemed hosts of the AI After Work (AIAW) Podcast podcast, Henrik G?thberg. During the session, Henrik and Cassie explore 'How organizations can effectively develop and deploy AI products to achieve meaningful business outcomes.'

AIAW Podcast E128 – Generation AI – Alexander Noren: Join us in Episode 128 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 impact of artificial intelligence across various sectors. Alexander shares his journey through the series. From the artistic abilities of AI to its potential in revolutionizing education and the job market. We discuss the most impactful interviews and revelations from 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!

AIAW Podcast E129 – AI in Sales and Marketing Emma – Storbacka: Join us in Episode 129 with Emma Storbacka, Group CEO at Avaus! Emma, with a background in digital transformation and consultancy, shares insights on digital marketing, AI’s role in marketing, and leveraging customer data. We discuss shifts in digital marketing strategies, AI’s impact on the industry, and scaling sales automation. Emma also explores how consultancy roles have evolved with digitalization and AI, future trends in marketing and sales, and advice for leaders. Plus, we ponder the potential impacts of AGI on our future. Tune in for a compelling discussion with an industry leader!

AIAW Podcast E130 - AI-enabled Future of the Music Industry - Hannes Bernhardsson: Join us in Episode 130 as we dive into the AI-enabled future of the music industry! Here with us, we have Hannes Bernhardsson, the visionary behind Songfox! Hannes shares his background, offering insights into the mission of Songfox. Discover the technology behind Songfox’s personalized AI models for artists, and explore how ownership and intellectual property work for users. We dive into the production capabilities that Songfox offers, enabling artists to enhance their music. Hannes discusses the challenges and solutions in AI music creation. Finally, we ponder the impact of AGI. Will it lead to a dystopian nightmare or a utopian paradise where creativity flourishes?

Hyperight Attend

Data2030 Summit 2024: Navigate the New AI Era with Transformative Data Management!

We're excited to welcome you to the 9th edition of the annual Data 2030 Summit! A premier event bringing together Nordic data management leaders, data enthusiasts, and innovators. A brand new edition, with a new format and focus, scheduled for September 25th and 26th in Stockholm.

This year's summit features fresh cutting-edge content, navigating the new AI Era with Transformative Data Management. We’ve redesigned the event to include an additional day, roundtable discussions on both days, pre-event workshops, and more sessions to capture the essence of today’s data management challenges. And showcase how organizations are tackling them. With 30+ international speakers and interactive panels, this summit is a must-attend for all CDOs and data practitioners. Ideal for those in Information Management, Data Governance, Master Data Management, Data Quality, Enterprise Architecture, and DataOps. If you are working with these topics, this summit is set to be incredibly beneficial for you.

The delegate registration is officially OPEN! Don't miss the Early Bird Discount! Register here by July 8th and save significantly on your ticket!

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

The Data Innovation Summit is the largest and the most influential annual Data and AI event represented across several regions. It brings together the most innovative minds, enterprise practitioners, technology providers, start-up innovators and academics. They work with Data Science, Big Data, ML, AI, Data Management, Data Engineering, IoT and Analytics. All in one place to discuss ways to accelerate AI-driven transformation throughout companies, industries and public organizations. The Data Innovation Summit ANZ edition equally addresses all elements of data-driven and AI-innovative business: data, people, processes and technology. The event is 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 showcases some of the best data-driven innovative projects, products, business ideas and technologies. All presented by some of the most advanced and innovative organizations in the world.

Nordic Data Science & Machine Learning Summit 2024: Transform Your AI Vision into Reality and Value!

Since its inception in 2016, the annual Nordic Data Science and Machine Learning (NDSML) Summit has been the premier event where AI innovation meets enterprise-scale implementation. Held on October 23rd and 24th, 2024, at Sergel Hub, Stockholm, this year’s summit brings a fresh focus on the latest trends in Data Science, Machine Learning, and Artificial Intelligence. Dive into three dedicated tracks: Strategy & Organization, ML and MLOps, and Infrastructure & Engineering, each designed to address the current and future challenges in AI deployment.

Until next time,

Hyperight team