Systems | Development | Analytics | API | Testing

Why Data Reliability Is Key to Business Success and How To Ensure It

Poor-quality data costs the U.S. economy around $3 trillion a year and impacts the bottom line of 88% of American companies. That's why data reliability is so critical. It prevents inaccurate, inconsistent, or just plain bad data from moving through your pipelines.

ODSC East 2023 MLOps Keynote: MLOps in the Era of Generative AI

ChatGPT sparks the imagination and highlights the importance of Generative AI and foundation models as the basis for modern AI applications. However, this also brings a new set of AI operationalization challenges. Challenges like handling massive amounts of data, large scale computation and memory, complex pipelines, transfer learning, extensive testing, monitoring, and so on. In this talk, we explore the new technologies and share MLOps orchestration best practices that will enable you to automate the continuous integration and deployment (CI/CD) of foundation models and transformers, along with the application logic, in production.

How ChatGPT Could Be a Data Security Problem

There’s no doubt in just a short period of time, ChatGPT and other large language models (LLMs) have become so immensely popular, they are now used by millions of people daily. ChatGPT’s ability to provide human-like responses and generate content has shown to be valuable to businesses and people across customer service, education, healthcare, and other industries. However, to get access to OpenAI’s powerful AI-tool, what do these businesses and people give up?

A Guide to Mobile Analytics for Next-Gen Devices

The realm of mobile devices has evolved beyond conventional smartphones and tablets, delving into the fascinating domains of wearable technology and IoT devices. As the landscape of mobile technology broadens, the significance of mobile analytics has surged. Here at Countly, we appreciate the power of these analytics to provide businesses with insights into user experiences, enabling data-driven decision-making and continuous refinement of our offerings.

LLM ChatBot Augmented with Enterprise Data

This video demonstrates how to use an open source pre-trained instruction-following LLM (Large Language Model) to build a ChatBot-like web application. The responses of the LLM are enhanced by giving it context from an internal knowledge base. This context is retrieved by using an open source Vector Database to do semantic search.

What are Data Silos and 5 Best Practices to Eliminate Them

Using data to make decisions is actually really hard. Yet nearly every tech company, business, and team touts “data-driven” as the de-facto way that they operate. In practice, this intention to be data-led is often just aspirational—only about a quarter of organizations report that they are actually data-driven, according to Harvard Business Review. It’s easy to see why organizations strive to more effectively use their data.

Qlik's Fully Integrated AI and ML Capabilities - Today and the Path Forward

In this first video, we introduce our overall approach, discuss what makes it unique, and describe our end-to-end capabilities and benefits that drive deeper and more meaningful insight, make that insight more accessible to all decision-makers, and speed up the time-to-value through automation. Unlike other solutions, Qlik offers fully integrated AI and ML built into our platform as foundational services, not a “bolt-on” or one-size-fits-all approach. We deliver a complete set of augmented capabilities, where we can “cross-pollenate” by leveraging ML-driven capabilities in Qlik Sense and Qlik Sense analytics in AutoML.

Keboola Provides a Data Platform That Can Be Accessed as a Pay-As-You-Go Service

In this episode of “Powered by Snowflake,” host Daniel Myers talks with Martin Fiser, Head of Professional Services at Keboola, about how Keboola’s data platform allows companies to rapidly speed up their work with data by eliminating the need to integrate discrete tools to build a data platform. Instead, Keboola provides a unified platform that allows data teams to begin building data products and initiate new use cases immediately with a single mouse click. Most importantly, the platform can be accessed as a service and used on a pay-as-you-go basis.