New Content Linked to the World of Data and AI
Welcome to another Hyperight.com Monthly Newsletter!
In this September edition, we explore the latest trends shaping the future of data and AI. From the growing importance of data regulations in fostering security, and fairness across industries, to the transformative power of data products in turning raw data into actionable insights, it’s clear that data is driving innovation. We also examine how a data strategy is crucial for unlocking AI-driven insights, and why a significant portion of organizational data remains untapped. Additionally, with AI explainability becoming a focal point in emerging regulatory frameworks, developers must prioritize transparency in their AI models.
Finally, we bring insights from industry leaders on the role of AI in insurance, healthcare, and telecom, and share updates on cutting-edge innovations such as generative AI, deepfake security risks, and personalized AI-driven experiences. As the AI landscape continues to evolve, don’t miss our upcoming events and expert interviews for more in-depth discussions on maximizing AI’s potential.
Hyperight Read
Embracing Data Regulations. Data-related regulations are catching up with advancements in different fields quite commendably in some parts of the world. While some regulations are imposed to foster interoperability and data sharing, others are brought in to promote data security and fundamental values such as fairness and democratizing access to data within larger ecosystems. Having driven data management initiatives within FinTech and Automotive, I gather that the way different domains handle data-related regulations is quite different.
From Raw Data to Strategic Insights: The Power of Data Products. Data truly powers everything we do. In a world driven by data, the quality and management of data are crucial for unlocking its value. “Data is the new oil,” we’ve all heard, and it’s true—data has become a currency of value. Organizations now rely on data not just to optimize operations, but to drive impactful outcomes. Central to this value creation are data products. They outline best practices in delivering and managing data, and mastering their utilization is essential to maximizing the value that data can provide.
Why Your Data Strategy is Key to Unlocking AI-Driven Insights. To truly unleash the potential of AI, a solid data strategy is key. When organizations strategically align their data, they can leverage AI tools to generate actionable insights. This, in turn, positions them to make informed decisions that drive their competitive advantage. In this article, we explore how breaking down data silos, navigating data complexities, and adopting a unified data strategy can transform raw data into a strategic asset. Discover how an integrated data approach sharpens decision-making and positions your organization for success in a world driven by AI!
Untapped Business Value: Why Significant Portion of Data Remains Unused. The exponential growth of global data generation is undeniable. Every day, we exchange 350 billion emails and conduct 8.5 billion searches on Google alone. Data is fuel for innovation, operational efficiency, and exceptional customer service. Despite the recognition of data’s value, a significant portion remains untapped within organizations. This limits the full potential of data infrastructure investments, as many employees struggle to understand how to access and use existing data.
The Role of Explainability in AI Regulatory Frameworks. As attention around AI has grown, so have concerns about its potential downsides. The?“black box”?is one of the most prominent of these issues, especially when it comes to emerging AI regulations. When users can’t be sure how a model arrived at a specific decision, it’s difficult to trust it. Regulatory frameworks around AI are still few and far between. In many cases, it’s up to specific developers to determine what they deem ethical and fair. At the same time, lawmakers have taken a rising interest in this technology. Legal requirements concerning AI are almost certain to emerge, so devs must focus on building compliant — which often means explainable — AI.
News, Articles and Reports
Active Archive Alliance Releases Special Report on Active Archives and AI. The Active Archive Alliance today released a special report, “How Active Archives Support Modern AI Strategies.” New artificial intelligence (AI) workflows are creating massive and persistent volumes of data that necessitate long-term retention and protection. Active archives help make AI workflow data easily accessible, searchable and retrievable on whatever storage platform or media it resides.
AI Deepfake Attacks will Extend Beyond Videos and Audio — Security Firms. As AI-powered deepfake scams become more prevalent, security firms warn that the attack method could extend beyond video and audio. On Sept. 4, software firm Gen Digital reported that malicious actors using AI-powered deepfake scams to defraud crypto holders have ramped up operations in the second quarter of 2024. The company said that the scammer group called “CryptoCore” had already scammed over $5 million in crypto using AI deepfakes. While the amount seems low compared to other attack methods in the crypto space, security professionals believe that AI deepfake attacks can expand further, threatening the safety of digital assets.
Meta can resume using personal data for AI training in Brazil. Mattos Filho and Bialer Falsetti Associados have advised Meta in the reversal of a decision made by Brazil's National Data Protection Authority (ANPD) to suspend the company from using Facebook and Instagram users' public data to train its generative artificial intelligence (AI) system.?
Accenture Helps Organizations Personalize Experiences on Salesforce using Data and AI. Accenture has launched a Personalized Experiences on Salesforce solution that leverages data and artificial intelligence (AI) to help organizations gain a 360-degree view of their customers and drive tailored experiences across channels—helping them to deliver what customers want, when they want it.
Oracle’s HeatWave Data Analytics Service Gets New Gen AI Features. Oracle released new generative AI features among other updates to its managed data analytics and database service, Oracle HeatWave at its CloudWorld 2024 conference. Oracle HeatWave encompasses several modules including HeatWave Lakehouse, HeatWave on AWS, HeatWave AutoML, HeatWave Gen AI, and MySQL HeatWave. The generative AI-based updates have been added to the Gen AI module and these include multi-lingual support, optical character recognition (OCR) support, LLM inference batch processing, JavaScript support, and automatic vector store updates, the company said, adding that the module allows developers to build generative AI-based application without data movement or additional cost.
Revolutionizing Efficiency: GenAI and RPA in Insurance – Interview with Anders Dr?ge, Frende Forsikring. In this interview, we speak with Anders Dr?ge! Anders is one of the driving forces behind the artificial intelligence and machine learning team at Frende Forsikring. As a returning speaker, this time at the NDSML Summit 2024, Anders will once again share game-changing insights. Renowned for his impactful talks, including “Enhanced Automation by Integrating AI in Robotic Processes” at the Data Innovation Summit 2023, he’ll explore how generative AI and RPA are revolutionizing efficiency in the insurance industry. In this interview, Anders highlights the vital role of legal collaboration and strategic planning in achieving real-world success. He’s also eager to delve into future AI trends that promise to transform customer experiences and streamline operations.
Transforming Healthcare: Data & AI in Life-Saving Innovations – Interview with Alexander Dahl, Laerdal Medical. In this interview, we had the opportunity to speak with Alexander Dahl, VP of Data and Analytics at Laerdal Medical! Alexander will be speaking at the upcoming Data 2030 Summit 2024 in Stockholm. In this interview, we discuss how Laerdal is leveraging data and AI to drive life-saving innovations, the transition to a governed data mesh architecture, and the organization’s ambitious goal to save one million more lives annually by 2030. Alexander also shares his insights on the future of healthcare technology and the critical role data plays in transforming the industry.
Data-as-a-Product: Shift in Mindset to Unlock Power of Data & AI – Interview with Anders Bresell, Telenor IoT. In this interview, we speak with Anders Bresell from Telenor IoT! With 20 years of experience in data insights, Anders has led Data Science and Big Data teams. He has also developed data monetization strategies. At the upcoming Data 2030 Summit, he will discuss Data-as-a-Product, sharing how Telenor integrates this concept to enhance AI scalability and efficiency. His talk will cover the journey from concept to practical application, including successes and challenges. As Telenor tackles data management challenges, Anders’ insights on Data-as-a-Product stand out. He highlights how this concept transforms data into a marketable product with specific quality standards and accountability. This approach enhances data reuse across business contexts and ensures high-quality data for AI.
AI After Work Podcast
领英推荐
AIAW Podcast E132 – The AI Update: Latest News and Trends Uncovered. In our Season 9 opener, we dive into?“The AI Update: The Latest News and Trends!”?Join us as we interview three industry leaders driving AI innovation. Luka Crnkovic-Friis is the Head of AI/ML at King. Jesper Fredriksson is the AI Engineer Lead at Volvo Cars. Salla Franzén is an Investment Manager at Navigare Ventures AB. We explore the latest developments and trends shaping artificial intelligence’s future. Topics include the AI hype cycle and the open versus closed source AI debate. We also discuss whether AI’s future is utopian or dystopian. This episode offers valuable insights!
AIAW Podcast E133 – Louise Callenberg & Peter Daniel. Join us on Episode 133 of the AIAW Podcast as we welcome Louise Callenberg, Founder & Lead Trainer at Leadership ARTS, and Peter Daniel, Partner at PA Consulting, for a deep dive into the latest report,?“Moving the Needle in Technical Development in the Nordic Welfare Systems.”?They discuss the transformative potential of AI, data sharing, and cloud technologies in reshaping public services across the Nordic countries. Tune in to explore how innovative solutions can tackle pressing challenges in healthcare and welfare systems. Don’t miss this insightful episode!
Hyperight Attend
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.
Supercomputing for AI: In-Person Only!
Did you know that Swedish SMEs focusing on AI can gain access to European supercomputers? And for Free! Join the ENCCS "Supercomputing for AI" workshop at our Hyperight Data Club on September 25th, and learn how to leverage these supercomputers for AI applications. This is a great opportunity for startups and medium-sized companies looking to innovate with AI but lacking access to supercomputers. This workshop is ideal for researchers, data scientists, machine learning engineers, and other professionals working on computationally intensive AI projects. Discover how supercomputers can accelerate your R&D efforts.
As there are only 30 spots available and the workshop will be highly interactive (bring your laptop!), we have included some qualifying questions during the registration process. REGISTER NOW!
Data 2030 Summit 2024: Navigating the New AI Era with Transformative Data Management!
The?Data 2030 Summit?is an annual gathering where the Data Management community discusses accelerating data innovation and AI deployment through modern strategies, platforms, and architectures.? This year, the summit will feature 3 stages: Data Strategy & Governance Stage, Modern Data Platform Stage, and Data Architecture and Quality Stage. And 30+ international speakers leading discussions on Information Management, Data Governance, Master Data Management, Data Quality, Enterprise Architecture, DataOps, and more!
Stay tuned for more in-depth insights on data products! Join forward-thinking practitioners from private and public sectors to tackle critical challenges and explore cutting-edge methodologies and tools. Save the dates: September 25th and 26th, 2024, at hotel Birger Jarl, Stockholm. Don’t miss the opportunity to get inspired and be part of the Data Management community!?GET YOUR TICKETS NOW.
Data Innovation Summit ANZ 2024 – October 17th 2024, Melbourne
The Data Innovation Summit is the largest and 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.
Transform Your AI Vision into Reality and Value at NDSML Summit 2024!
Since 2016, the annual?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, we bring a fresh focus on the latest trends in Data Science, Machine Learning, and Artificial Intelligence. Dive into three tracks: Strategy & Organization, ML and MLOps, and Infrastructure & Engineering, each designed to address the current and future challenges in AI deployment!
Explore topics such as Generative AI and Large Language Models, robust AI techniques, Computer Vision, Robotics, and Edge Computing. With 450+ Nordic delegates, 40+ leading speakers, interactive panels, and a hybrid format for both on-site and online attendees, this summit is a place to harness the full potential of AI!?GET YOUR TICKETS NOW.
Data 2030 Summit MEA 2024 is Right around the Corner!
Until next time,
Hyperight team