Content digest #24

Hyperight Read

Unlocking Fashion Trends with a Minimalistic AI Model: Aim at perfection – and fail: In the fast-paced world of fashion, harnessing the power of data to deliver personalized recommendations is a desired goal. However, this industry aims to create a groundbreaking personal styling service using minimal data, envisioning a paradigm shift. In the presentation ”Aim at perfection – and fail” at the Nordic Data Science and Machine Learning NDSML Summit 2023 in Stockholm, Sofie Perslow, CEO/CTO at Stylee Intelligence AB, presents a unique approach merging cutting-edge technology with style. This approach aims to establish a new standard of excellence within the fashion industry.

Navigating Tomorrow: 5 Generative AI Trends Redefining Enterprises in 2024: Amidst a wave of technological advancements, AI, including ChatGPT and Generative AI, has become integral across organizational levels. The adoption of Large Language Models (LLMs) in 2024 will signify a strong commitment to leveraging this technology for operational transformation and business innovation. This article explores industry leaders’ insights on the synergy between Generative AI and Data Strategy, the convergence of Knowledge Graphs and LLMs, Value Creation through Data Science and Responsible AI, Mainstream AI integration, staff empowerment, and The Rise of RAG, advocating for Customized Solutions over a One-Size-Fits-All approach.

Beyond the AI Buzz: Reflections on 2023 and Predictions for 2024 with Goran Cvetanovski: We had the chance to sit down with Goran Cvetanovski, Founder & CEO of Hyperight and the Editorial Director of Data Innovation Summit. In an insightful conversation, Goran shared his personal retrospectives of 2023’s AI revolutions, following up with a glimpse into what 2024 might hold for the world of AI. As we delve into 2023’s achievements, challenges, and developments in AI, Goran sheds light on technology, regulation, and business strategies that have defined the enterprise AI landscape.

The 2023 Evolution of Data, Analytics and AI Part 1: Six Popular Data-driven Trends Reshaping the Digital Landscape: Within the world of data, there is a perpetual need for evolution. The data landscape is constantly adapting to the progression of technology, the emergence of new methodologies, and the shifts in user behaviors. Consequently, the landscape is influenced by the most recent advancements in data management practices and technologies every year. From advancements in artificial intelligence to the growing importance of data privacy, 2023 was an exciting time for the data-driven world. This article covers popular, and often written trends that are expected to make an even bigger impact on business operations in the forthcoming years.

The 2023 Evolution of Data, Analytics and AI Part 2: Data Management Key Trends and Transformations in 2023: In part 2 of “The 2023 Evolution of Data, Analytics and AI” series, we take a closer look at data management, highlighting key trends and transformations that have gained significant momentum in 2023. In addition, we cover the growing adoption of cloud-native applications, including multi-cloud strategies and hybrid cloud platforms, data lakes and lakehouses, the development of low-code/no-code applications, and the powerful synergy of data democratization, data mesh, and data fabric.

The 2023 Evolution of Data, Analytics and AI Part 3: BI and Analytics Evolution 2023: Navigating Through New Trends: 2023 was a year of dynamic stream of innovation, reshaping the way organizations leverage analytics and business intelligence (BI). Following part three of “The 2023 Evolution of Data, Analytics and AI“ series, this part covers the business intelligence (BI) evolution and analytics, presenting the latest advancements this year and navigating through current trends!

The 2023 Evolution of Data, Analytics and AI Part 4: AI Advancements in 2023 – Emerging 2024 Trends and Future Directions: Today, artificial intelligence (AI) is an integral part of our daily lives. From mind-bending breakthroughs to real-world applications, AI took giant leaps forward, blurring the lines between technology and human existence. AI advancements reshaped our interactions, prompting ethical concerns about dependence on machines for decisions and companionship in our lives. Part four of “The 2023 Evolution of Data, Analytics and AI“ series, covers the 2023 AI advancements and emerging trends and future directions at the forefront of artificial intelligence.

News, Articles, and Reports

Open Source Marvel Introduces Mistral 7B: Mistral AI released Mistral 7B, the most powerful language model for its size to date. Mistral 7B is a 7-billion-parameter language model. Designed with precision, Mistral 7B combines efficiency and high performance, catering to the needs of real-world applications. Notably, its efficiency enhancements make it well-suited for time-sensitive, real-time scenarios requiring swift responses. Upon its launch, Mistral 7B demonstrated superior performance compared to the leading open-source 13B model, Llama 2, across all evaluated benchmarks.

Questionable Gemini AI Demo Sparks Concerns:  Doubts surrounding the credibility of the Gemini AI demo have sparked a growing  concern. Google is facing criticism for a demonstrative video of Gemini, which it now says was not conducted in real time. The criticism comes as déjà vu for the company’s demonstrations earlier this year, which employees called “rushed, botched.”

Humanoid Robots are Getting to Work: In 2015, humanoid robots showcased advanced mobility and manipulation skills at the DARPA Robotics Challenge, inspired by the Fukushima nuclear disaster. Companies like Agility Robotics plan to deploy commercial humanoid robots, such as Digit, in 2024 for logistics tasks, initially focusing on tote-handling jobs in warehouses. Standing 1.75 meters tall, weighing 65 kilograms, and capable of lifting 16 kg, Digit is being tested by Amazon for tasks like empty tote recycling in older warehouses. Challenges persist in deploying commercial humanoid robots, including complex actuators, battery limitations, manufacturability, and the development of efficient and safe deployment software.

Tesla Unveils Optimus Gen 2: Its Next Generation Humanoid Robot: Tesla has introduced Optimus Gen 2, a next-generation humanoid robot designed to handle repetitive tasks traditionally performed by humans. Referred to as the Tesla Bot, Optimus Gen 2 has not gained widespread credibility, particularly among those outside the dedicated Tesla fanbase. 

Potential Q-Star Project by OpenAI: Project Q-Star, or Q*, is an elusive AI algorithm developed by OpenAI. Despite limited information, it has demonstrated proficiency in solving novel math problems, indicating progress towards AGI. The name “Q-star” signifies a pursuit of a fundamental model, a guiding beacon in machine learning. Q-star holds significant promise for advancements in technology interaction, automation, and global problem-solving. While OpenAI’s commitment to public sharing encourages collaborative innovation, undisclosed capabilities and potential risks fuel speculation in the AI community.

GPT Store Announced by Open AI: OpenAI will finally launch the GPT Store this week, exclusively available to ChatGPT Plus and enterprise subscribers. This platform enables users to sell and share custom AI agents created with the GPT-4 model, fostering a marketplace for personalized chatbots. Compensation for creators will be based on agent usage, although specific payment details remain undisclosed. With the official announcement, users are eager to showcase and profit from their unique GPT creations.

SOLAR 10.7B: The Sun of AI Rises in the East: During the Seoul meeting, upstage’s CTO, Hwalsuk Lee, discussed Large Language Models (LLMs) and AI. The innovative SOLAR 10.7B model combines Llama2 and Mistral 7B through Depth Up-Scaling (DUS), challenging traditional scaling methods. Recognized for efficiency, simplicity, and proficiency in instruction-following tasks with SOLAR 10.7B-Instruct, the model prioritizes versatility and ethical alignment through two-stage training. Acknowledging limitations and ethical considerations, SOLAR 10.7B excels in benchmarks and ablation studies, emphasizing its impact on natural language processing and potential in shaping future AI evolution.

New York Times Files Lawsuit against OpenAI and Microsoft Demanding Destruction of ChatGPT: The New York Times files a lawsuit against OpenAI and Microsoft, claiming copyright infringement for using its articles to train AI models (large language models, data scraping) without permission or compensation, challenging the legal boundaries of AI training data usage. The New York Times is seeking billions in damages and the destruction of chatbot models that use the Times’ copyrighted material.

Midjourney v6 is Now Available for Alpha Testing: Midjourney announced the alpha release of V6, an advanced AI-powered image generation tool. This version boasts extended prompt adherence, enhanced image generation features like remixing and text drawing, and refined upscalers for a more creative visual experience. Alpha testing is currently ongoing on Discord, with significant updates expected soon. Midjourney V6, the result of nine months of dedicated research, aims to elevate user experience with realistic images, showcasing the team’s commitment to pushing the boundaries of AI image generation.

AI After Work Podcast

AIAW Podcast Episode 114 – 2023 in Review: Episode 114 is the very grand finale of AIAW Podcast’s Season 7! In this episode, we reflect on a journey through the past year’s remarkable evolution in AI, covering technology, people, and groundbreaking innovations. We revisit the most enlightening moments and discussions from seasons 6 and 7, providing a detailed summary of our esteemed guests and the wisdom they shared. Delve into our discoveries and the lessons that 2023 has imprinted on us. As we bid farewell to an eventful year, we also cast our gaze forward with predictions for 2024, speculating on the trends, challenges, and advancements that await us in the ever-evolving AI landscape.

Hyperight Attend

Data Innovation Summit 2024: Kistamässan, Stockholm, 24 – 25th of April 2024

The 2024 edition of the Data Innovation Summit brings 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, LLMs, 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.

These editions will cover a range of topics spread across 9 stages 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 200+ TIP sessions, and connect with professionals across the globe, accelerating AI-driven transformation in their organizations.

Here are some of the reasons to attend the Data Innovation Summit 2024:

• Unparalleled Scale: Join the largest annual data and AI gathering with over 3,000 attendees for an unforgettable experience.
• Comprehensive Learning: Explore 250 presentations, 7 workshop rooms, and more than 200 demos for a deeper understanding of the data-to-insight-to-action process.
• Dynamic Networking: Connect with more than 3,000 peers and 250+ global experts, fostering valuable relationships and collaborations.
• Showcasing Cutting-edge Technologies: Witness the latest technology from more than 100 exhibitors, some making their Nordic debut, offering a glimpse into the future of data and AI.
• Flexible Participation and Global Connection: Attend in person or online, tailoring your experience, and become part of a global movement connecting the data, analytics, and AI community.
• Immersive Engagement: Immerse yourself in vibrant activities, parties, and challenges for a balanced and enjoyable event.

Unlock the future of data innovation, and reserve your seat now at the event of the year. Don’t miss out, secure your spot at datainnovationsummit.com!

tpo33: tpo33 events provide a unique solution, surpassing traditional learning formats to offer targeted, solution-oriented peer-to-peer networking. Designed for decision-makers and practitioners, these events optimize time investment, facilitating collaboration among a select community of like-minded peers for effective problem-solving.

CAIO tpo33: 

CAIO (Chief AI Officer) 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, CxO’s, or senior managers who are leading the AI initiative and strategy in their organization.

• CAIO tpo33: 6th March 2024, Copenhagen‎‎‎
• CAIO tpo33: ‎‎26th March 2024, Stockholm

FinOps tpo33: ‎‎‎19th March 2024 , Stockholm‎‎

FinOps tpo33 is an ideal event for every FinOps and cloud efficiency professional or organization seeking to navigate the complexities of cloud spending. By delving into analyzing, optimizing, and automating financial operations, participants will discover effective strategies to not only reduce costs but also to unlock new growth opportunities, drive innovation, and achieve a competitive edge in the rapidly evolving digital landscape.

CBIO tpo33: 

CBIO (Chief BI Officer) tpo33 is tailor made for every practitioner or organization working with or interested in learning how to maximize the ROI of their BI initiatives and function. The event is created for Chief BI and Analytics Officers, CxO´s, or senior managers who are leading the BI and Analytics initiative and strategy in their organization.

Until next time,

Hyperight Team