Stephanie Simone

Machine learning is primarily concerned with accuracy and pattern recognition, while natural language processing (NLP) is concerned with computer-human language interactions, specifically how to program computers to process, and analyze large amounts of natural language data. At Data Summit 2024, Christy Bergman, developer advocate, Zilliz, presented how to use an open source vector database to power GenAI chatbots, ecommerce recommenders, and similarity search-based apps during her workshop, 'Taking Advantage of Machine Learning & Natural Language Processing.'

Doug Laney opened Data Summit 2024 with a look at Infonomics in the era of AI. Laney, innovation fellow, data and analytics strategy, West Monroe, and Author of Infonomics and Data Juice, visiting professor at University of Illinois Gies College of Business, shared insights from his best-selling book, Infonomics, about how organizations can actually treat information as an actual enterprise asset.

The vast majority of current GenAI projects will fail, not because of inherent flaws in large language models (LLMs), but because of misconceptions about how to use them and the lack of capabilities needed to successfully design, develop, and operationalize GenAI-driven applications.

The combination of Apache Flink, Apache NiFi, and Apache Kafka for building real-time data processing pipelines is extremely powerful, as demonstrated by Timothy Spann, principal developer advocate, streaming, Cloudera and future of data meetup, startup grind, AI Camp, during his Data Summit 2024 session, “Building Real-Time Pipelines With FLaNK.”

There is no doubt that data mesh principles resonate with so many data professionals, particularly those looking to move beyond brittle, monolithic architecture. However, adopting data mesh can seem daunting, due to both a scarce but improving ecosystem of tools, as well as organizational change management. At Data Summit 2024, Elliott Cordo, CEO/founder/builder, Data Futures, LLC, presented 'From Daunting to Doable: The Evolution of Data Mesh.'

Time series analysis plays a crucial role in enhancing the capabilities of AI by providing valuable insights into temporal patterns, trends, and dependencies within datasets.

Are you taking a hard look at your cloud costs this budgeting season? Is your IT budget getting eaten up without a good ROI to show for it? Do you need to justify your cloud expenses and business cases to leadership?

The Department of Labor announced the release of a far-reaching set of principles that provide employers and developers, that create and deploy artificial intelligence, with guidance for designing and implementing AI in ways that enhance job quality and protect workers' rights. These new guidelines were developed as a result of President Biden's Executive Order on the Safe, Secure and Trustworthy Development and Use of Artificial Intelligence.

ManageEngine, a division of Zoho Corporation and a provider of enterprise IT management solutions, is releasing SaaS Manager Plus, a SaaS management solution for enterprises to streamline their SaaS ecosystems. SaaS Manager Plus will integrate with Zoho apps and other widely utilized applications.

dbt Labs, the pioneer in analytics engineering, is introducing dbt Cloud enhancements designed to help businesses turn data into a competitive advantage as companies' data volumes explode and the need for trustworthy, high-quality data increases. 'Accurate and timely data is crucial, which is why we've delivered a standardized way to quickly build reliable, holistic, and high-quality data pipelines at scale,' said Luis Maldonado, VP of product at dbt Labs. 'These new features take this even further, significantly improving data workflows and AI workloads, all while empowering more users with powerful business insights.'