Remove AI Strategy Remove Data Science Remove Metadata
article thumbnail

Syngenta develops a generative AI assistant to support sales representatives using Amazon Bedrock Agents

Flipboard

Generative AI is reshaping businesses and unlocking new opportunities across various industries. As a global leader in agriculture, Syngenta has led the charge in using data science and machine learning (ML) to elevate customer experiences with an unwavering commitment to innovation.

article thumbnail

Achieve your AI goals with an open data lakehouse approach

IBM Journey to AI blog

Typically, on their own, data warehouses can be restricted by high storage costs that limit AI and ML model collaboration and deployments, while data lakes can result in low-performing data science workloads. All of this supports the use of AI. New insights and relationships are found in this combination.

Metadata 238
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Introducing watsonx: The future of AI for business

IBM Journey to AI blog

Through workload optimization an organization can reduce data warehouse costs by up to 50 percent by augmenting with this solution. [1] 1] Users can access data through a single point of entry, with a shared metadata layer across clouds and on-premises environments.

article thumbnail

Microsoft Azure OpenAI Service and DataRobot Modernize Data Science Work with Cutting-Edge Technology Innovations

DataRobot Blog

Traditionally, developing appropriate data science code and interpreting the results to solve a use-case is manually done by data scientists. It is a time-intensive process that can slow the adoption of AI across an organization. For example, generating code to prepare data as well as train and deploy a model.

article thumbnail

Exploring the AI and data capabilities of watsonx

IBM Journey to AI blog

IBM watsonx.ai: enterprise-ready next-generation studio bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. foundation models to help users discover, augment, and enrich data with natural language. Later this year, it will leverage watsonx.ai

article thumbnail

3 key reasons why your organization needs Responsible AI

IBM Journey to AI blog

The True Cost of Noncompliance Responsible AI requires governance Despite good intentions and evolving technologies, achieving responsible AI can be challenging. AI requires AI governance , not after the fact but baked into AI strategy of your organization. So what is AI governance?

article thumbnail

Build a RAG-based QnA application using Llama3 models from SageMaker JumpStart

AWS Machine Learning Blog

Start by using the following code to download the PDF documents from the provided URLs and create a list of metadata for each downloaded document. !mkdir Specialist Solutions Architect focused on generative AI strategy, applied AI solutions, and conducting research to help customers hyperscale on AWS.

LLM 128