Ensure AI Applications are Ethical and Well Governed
Ensuring responsible and ethical use of AI is a paramount concern. We prioritize the well-being of our customers and strive to utilize AI in a manner that benefits them and the markets we operate in, without causing any detrimental or subversive impacts. To guarantee responsible AI use, we adhere to stringent governance principles and frameworks….
Data Management for Successful AI
While AI is recognized as a key driver for securing the future of organizations, there are valid public concerns regarding its potential negative impact. Concentration of power in the hands of large tech companies and fears of job automation are among the primary concerns. Transparency is crucial in addressing these concerns, and in our upcoming…
ChatGPT, Bard et al: Generative AI for Enterprise Growth and Engagement
Don’t miss our engaging fireside chat featuring AI expert Chris Maeda, Chief Technical Officer at Botco.ai, and Anu Shukla, Executive Chairman. Join us as we delve into the potential of Generative AI to propel enterprise growth and enhance customer engagement. This webinar offers a deep dive into the captivating realm of generative AI, covering the…
AI & Consumer Sentiment: The Future of Digital Storytelling
Discover the future of digital storytelling in the on-demand webinar “AI & Consumer Sentiment: The Future of Digital Storytelling” presented by ViralGains in partnership with MAGNA Global and IPG Media Lab. Join us as we delve into the crucial role of artificial intelligence and data in creating relevant and engaging brand stories that optimize the…
Accelerate your AI Projects in the Cloud
If you’re seeking to kickstart an AI project rapidly, whether driven by competitive pressures, the need for enhanced agility and speed, or exploring various AI scenarios for customer experiences, deploying the solution using Cloud technologies is likely the ideal choice. Join us in this webinar as we explore the vast opportunities that arise when deploying…
Pythian Announces Generative AI Strategy and Offerings to Accelerate Enterprise Innovation
Pythian Services Inc., a prominent data, analytics, and cloud services company, has announced its strategic focus on leveraging generative artificial intelligence (GenAI) to drive rapid innovation and transformation in the enterprise sector. By offering cost-effective GenAI discovery, proof of concept, and production solutions alongside its existing data services, Pythian empowers companies to effectively utilize GenAI….
MongoDB Launches AI Initiative with Google Cloud to Help Developers Build AI Powered Applications
During MongoDB.local NYC, MongoDB, Inc. announced a collaboration with Google Cloud to facilitate the adoption of generative AI and the development of new application classes. MongoDB Atlas, the multi-cloud developer data platform, will integrate with Google Cloud’s Vertex AI to enable developers to leverage generative AI more efficiently and with reduced complexity. With the operational…
FICO Awarded 9 New Patents Used in FICO Platform and Fraud Solutions that Utilize Sophisticated AI to Improve Decision Accuracy
FICO, a global analytics software firm, has recently been granted a total of nine patents, including three international patents and six U.S. patents. These patents are in the areas of fraud detection, artificial intelligence (AI), and machine learning technology. FICO’s expertise in building AI and machine learning models is valuable to enterprises that utilize their…
Topaz AI First Innovations
Discover the cutting-edge innovations of Infosys’ Topaz AI First, which encompasses AI-enabled Analytics and AI-enabled Automation. These groundbreaking solutions are designed to drive significant cost savings, improved efficiency, and enhanced customer experiences across various industry segments. With AI-enabled Analytics, Infosys empowers clients to extract valuable insights from vast amounts of data using advanced AI algorithms….
Deep Dive into the Latest Lakehouse AI Capabilities
Databricks offers a distinct approach to machine learning with its unified data and ML platform. Unlike traditional approaches that rely on separate tools and vendors for different stages of the ML lifecycle, Databricks breaks down the silos between the data stack, ML stack, and DevOps stack, resulting in a simplified, faster, and better-governed ML process….
Data Caching Strategies for Data Analytics and AI
As the demand for data analytics and artificial intelligence (AI) continues to grow, the volume of data used in these fields has skyrocketed, highlighting the need for enhanced computational capabilities. Cache, as an accelerator for data and AI computations, plays a vital role in improving performance. However, it is crucial to recognize that data analytics…
Data & AI Products (Data Mesh) on Databricks: Making Data Engineering and Consumption Self-Service Driven for Data Platforms
In a quest to establish “Data as a Product” for both internal and external stakeholders, our client, a prominent IT and business consulting firm, partnered with Infosys. This collaborative project adopted a data platform approach, utilizing Delta Sharing, API endpoints, and Unity Catalog to bring to life the Data and AI Products (Data Mesh) architecture….