In today’s constantly evolving digital landscape, networks are the backbone of modern enterprises. The need to prepare for potential network failures by instilling resilience and redundancy is more pressing than ever. Designing a stable, flexible and secure network infrastructure, with real-time visibility across assets and users is critical to maintaining reliability. Tune into the upcoming Strategies for a Resilient Network summit and discover strategies to design an agile, data-driven network that optimizes visibility, enhances DNS management and minimizes disruptions.
Properly managing data is more essential than ever. Organizations now operate among a complicated web of business applications, ushering in extensive amounts of analytical information that can quickly become unwieldy. Without the right oversight, companies miss out on the chance to make the most of this data to drive smarter decision making, strategic planning and even reduce costs. The growing use of generative AI, machine learning and other emerging technologies are posed to transform data management but how can businesses best leverage these platforms to glean the most business value and risk assessment? In the upcoming Data Management: Navigating Opportunities for Success summit, leading experts in the field will discuss the latest data management strategies as well as what’s next in data analytics and architecture.
Top Stories
Retrieval augmented fine-tuning and data integrations April 16, 2024 by Dan Wilson In the latest episode of the “AI Think Tank Podcast,” I had the pleasure of hosting a deep dive into the world of AI advancements, specifically focusing on “RAFT” (Retrieval Augmented Fine Tuning). Joining me were the esteemed guests Suman Aluru and Caleb Stevens, who both have much to do with AI infrastructure and application. Our conversation revolved around how RAFT bridges the critical gaps between fine-tuning and retrieval-augmented generation (RAG), and the significant impact this has on AI-driven applications.
How is machine learning changing the landscape of FinTech? April 11, 2024 by Pritesh Patel Machine learning in FinTech is a critical enabler in tech-driven banking, where efficiency and innovation are key to staying ahead of the competition. It transforms obstacles into lucrative possibilities by revolutionizing crucial areas such as risk management, fraud detection, algorithmic trading, and compliance.
Get ready for future innovations with large language models April 12, 2024 by Prasanna Chitanand Nowadays, almost all businesses use generative AI and large language models after realizing their ability to boost accuracy in various tasks. These AI models have become the topic of social media discussions nowadays. This blog explores more on the business and commercial uses of LLMs and genAI along with the differences between them.
In-Depth
Using window functions for advanced data analysis April 15, 2024 by Erika Balla Window functions are an advanced feature of SQL that provides powerful tools for detailed data analysis and manipulation without grouping data into single output rows, which is common in aggregate functions. These functions operate on a set of rows and return a value for each row based on the calculation against the set.
5 mistakes to avoid in CMMC compliance April 12, 2024 by Erika Balla Think of a battlefield — not filled with soldiers but cyber warriors. The Defense Industrial Base (DIB) stands as the front line. This digital battleground faces nonstop cyberattacks, each one getting trickier. Here, the Department of Defense uses the Cybersecurity Maturity Model Certification (CMMC) 2.0 program to protect sensitive, unclassified information.
Building reliable and efficient ETL pipelines: Best practices for data wranglers April 11, 2024 by Ovais Naseem Data is crucial for your business—it helps with decisions and growth. But sometimes, it’s stuck in different places and hard to use. Implementing an ETL Pipeline is like sharpening that blurry map and fixing the broken compass—it turns frustration into clarity! But there’s good news! An ETL pipeline can help.
The new era of data handling: Tools that transform business strategies April 10, 2024 by Ovais Naseem Data Automation Tools play a crucial role in transforming how businesses handle data. They offer advanced functionalities that streamline data management processes, enabling organizations to enhance efficiency and accuracy. By automating tasks such as data entry, validation, and analysis, these tools reduce manual intervention and minimize the risk of errors.
DSC Weekly 9 April 2024 April 9, 2024 by Scott Thompson Read more of the top articles from the Data Science Central community.
