Local LLMs are becoming mainstream with sites like HuggingFace promoting open sharing of trained LLMs. These LLMs are often very small but still extremely accurate, especially for domain-specific tasks like medicine, finance, law, and others. Gemma is a multi-purpose LLM and, while small, is competitive and accurate. Local LLMs also have the advantage of being completely run inside your own environment.

It’s no surprise that ever since ChatGPT’s broader predictive capabilities were made available to the public in November 2022, the sprawl of stakeholder capitalization on large language models (LLMs) has permeated nearly every sector of modern industry, accompanied or exacerbated by collective fascination. Financial services is no exception. But what might this transformation look like, from practical applications to potential risks?

BigQuery’s entity resolution framework lets customers integrate directly with the identity providers and match their records to an identity domain.

A beautiful dashboard requires careful consideration for the audience throughout its design. Here are 5 essential considerations and tips for better looking dashboards. For many people, it can be hard to interpret data if it isn’t presented in a simplified way. They get cognitive overload, intimidated by what’s on screen, or misinterpret what you intend to communicate. Often, they may not use dashboards for their work altogether.

What does it take for an architecture, engineering, or construction business to be profitable? Many look toward aggressive growth and expansion, either by geography or acquisition or both. However, growth requires significant spending on resources from new employees to acquisitions, and it takes time to see a return on your investment.

Recognized for the third year in a row, insightsoftware continues meeting demands for sophisticated data-driven insights within customer applications RALEIGH, N.C. – March 6, 2024 – insightsoftware, the most comprehensive provider of solutions for the Office of the CFO, today announced it has been named a winner for Embedded Business Intelligence (BI) in the 2023 Technology Innovation Awards by Dresner Advisory Services.

Cyberattacks are devastating, especially when they derail real-world critical services like healthcare. An especially troubling attack field is ransomware: In 2022, 66% of U.S. hospitals were targeted in ransomware attacks, an increase of almost 50% from 2021, and 289 hospitals were affected by successful ransomware attack incidents. Healthcare organizations paid the ransom in about 61% of ransomware incidents, the highest rate of any industry.

Because human-machine interaction using natural language is now possible with large language models (LLMs), more data teams and developers can bring AI to their daily workflows.

Artificial Intelligence (AI) is primed to reshape the way just about every business operates. Cloudera research projected that more than one third (36%) of organizations in the U.S. are in the early stages of exploring the potential for AI implementation. But even with its rise, AI is still a struggle for some enterprises. AI, and any analytics for that matter, are only as good as the data upon which they are based. And that’s where the rub is.

Managing complex data pipelines is a major challenge for data-driven organizations looking to accelerate analytics initiatives. While AI-powered, self-service BI platforms like ThoughtSpot can fully operationalize insights at scale by delivering visual data exploration and discovery, it still requires robust underlying data management. Now, that’s changing. Snowflake's new dynamic tables feature redefines how BI and analytics teams approach data transformation pipelines.