Iguazio

JULY 22, 2024

AI and generative Al can lead to major enterprise advancements and productivity gains. One popular gen AI use case is customer service and personalization. Gen AI chatbots have quickly transformed the way that customers interact with organizations. Another less obvious use case is fraud detection and prevention.

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IBM Journey to AI blog

MARCH 4, 2024

We have all been witnessing the transformative power of generative artificial intelligence (AI), with the promise to reshape all aspects of human society and commerce while companies simultaneously grapple with acute business imperatives. We refer to this transformation as becoming an AI+ enterprise.

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Dataconomy

MAY 16, 2025

Modern AI success stories share a common backbone: realtime data streaming. As Gartner notes in its 2025 Strategic Technology Trends , organizations that operationalize continuous data flows will forge safely into the future with responsible innovation, leveraging AI to out-maneuver slower, batchoriented competitors.

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DataRobot

SEPTEMBER 14, 2021

As we see from countless examples, the demand for AI is at a fever pitch across every industry. Becoming AI-driven is no longer really optional. As AI continues to advance at such an aggressive pace, solutions built on machine learning are quickly becoming the new norm. So let’s dive in!

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Iguazio

MAY 29, 2024

The generative AI industry is changing fast. To ensure AI applications remain relevant, effective, secure and capable of delivering value, teams need to keep up with the latest research, technological developments and potential use cases. The 4 Gen AI Architecture Pipelines The four pipelines are: 1.

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Dataconomy

MAY 14, 2025

Consumer behavior is on the brink of a dramatic shift thanks to Agentic AI autonomous intelligent agents that act on behalf of users. Unlike traditional chatbots or static assistants, these AI agents can proactively navigate apps and websites, make decisions, and execute tasks end-to-end.

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IBM Journey to AI blog

FEBRUARY 26, 2024

Increased data pipeline observability As discussed above, there are countless threats to your organization’s bottom line. That’s why data pipeline observability is so important. Realize the benefits of automated data lineage today. Schedule a demo with a MANTA engineer to learn more.

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AWS Machine Learning Blog

SEPTEMBER 24, 2024

To address this challenge, the contact center team at DoorDash wanted to harness the power of generative AI to deploy a solution quickly, and at scale, while maintaining their high standards for issue resolution and customer satisfaction. In this post, we show how you can deploy generative AI agents in your contact center using AWS services.

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IBM Journey to AI blog

JULY 27, 2023

According to IBM’s Institute of Business Value (IBV) , AI can contain contact center cases, enhancing customer experience by 70%. Additionally, AI can increase productivity in HR by 40% and in application modernization by 30%. Overall placing emphasis on establishing a trusted and integrated data platform for AI.

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Iguazio

DECEMBER 18, 2023

2023 was the year of generative AI, with applications like ChatGPT, Bard and others becoming so mainstream we almost forgot what it was like to live in a world without them. This means that in 2024, we’re likely to see businesses continue to seek ways to adopt generative AI as a way to enhance their operations.

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Flipboard

AUGUST 17, 2023

AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, ML, and application development. Deploy the CloudFormation template Complete the following steps to deploy the CloudFormation template: Save the CloudFormation template sm-redshift-demo-vpc-cfn-v1.yaml

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phData

APRIL 5, 2024

With Document AI from the Snowflake Data Cloud , organizations can utilize the power of LLMs to automate the process of converting unstructured documents into organized tables with ease! In this blog, we’ll cover what the Document AI tool is, what use cases it solves, and how to integrate it with document processing pipelines.

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Iguazio

FEBRUARY 20, 2024

Gen AI is quickly reshaping industries, and the pace of innovation is incredible to witness. While building gen AI application pilots is fairly straightforward, scaling them to production-ready, customer-facing implementations is a novel challenge for enterprises, and especially for the financial services sector.

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The MLOps Blog

JUNE 27, 2023

With Azure Machine Learning, data scientists can leverage pre-built models, automate machine learning tasks, and seamlessly integrate with other Azure services, making it an efficient and scalable solution for machine learning projects in the cloud. Might be useful Unlike manual, homegrown, or open-source solutions, neptune.ai

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Machine Learning Machine Learning ML ML 134

Tableau

DECEMBER 7, 2022

Every company today is being asked to do more with less, and leaders need access to fresh, trusted KPIs and data-driven insights to manage their businesses, keep ahead of the competition, and provide unparalleled customer experiences. . But good data—and actionable insights—are hard to get. Bring your own AI with AWS.

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Tableau

DECEMBER 7, 2022

Every company today is being asked to do more with less, and leaders need access to fresh, trusted KPIs and data-driven insights to manage their businesses, keep ahead of the competition, and provide unparalleled customer experiences. . But good data—and actionable insights—are hard to get. Bring your own AI with AWS.

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Tableau Data Warehouse Data Pipeline Data Visualization 98

Snorkel AI

JANUARY 24, 2023

Unfortunately accessing data across various locations and file types and then operationalizing that data for AI usage has traditionally been a painfully manual, time-consuming, and costly process. Ahmad Khan, Head of AI/ML Strategy at Snowflake, discusses the challenges of operationalizing ML in a recent talk.

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Snorkel AI

JANUARY 24, 2023

Unfortunately accessing data across various locations and file types and then operationalizing that data for AI usage has traditionally been a painfully manual, time-consuming, and costly process. Ahmad Khan, Head of AI/ML Strategy at Snowflake, discusses the challenges of operationalizing ML in a recent talk.

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AI AI ML ML 52

DataRobot Blog

SEPTEMBER 13, 2022

Many implement machine learning and artificial intelligence to tackle challenges in the age of Big Data. They develop and continuously optimize AI/ML models , collaborating with stakeholders across the enterprise to inform decisions that drive strategic business value. Driving Innovation with AI: Getting Ahead with DataOps and MLOps.

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Iguazio

DECEMBER 18, 2023

2023 was the year of generative AI, with applications like ChatGPT, Bard and others becoming so mainstream we almost forgot what it was like to live in a world without them. This means that in 2024, we’re likely to see businesses continue to seek ways to adopt generative AI as a way to enhance their operations.

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ML ML AI AI 52

Flipboard

NOVEMBER 24, 2023

Many customers are building generative AI apps on Amazon Bedrock and Amazon CodeWhisperer to create code artifacts based on natural language. Amazon Bedrock is the easiest way to build and scale generative AI applications with foundation models (FMs). Using AI, AutoLink automatically identified and suggested potential matches.

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ODSC - Open Data Science

SEPTEMBER 20, 2023

Monday’s sessions will cover a wide range of topics, from Generative AI and LLMs to MLOps and Data Visualization. This day will have a strong focus on intermediate content, as well as several sessions appropriate for data practitioners at all levels. However, it will be the first day of ODSC Keynotes and expert-led talks.

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DataRobot Blog

DECEMBER 1, 2022

By leveraging AI to target the right prospects with personalized promotions based on each customer’s unique attributes and purchase history, businesses can streamline customer segmentation and maximize conversions. How Can AI Target the Right Prospects with Sharper Personalization?

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AWS Machine Learning Blog

DECEMBER 15, 2023

We are excited to announce the launch of Amazon DocumentDB (with MongoDB compatibility) integration with Amazon SageMaker Canvas , allowing Amazon DocumentDB customers to build and use generative AI and machine learning (ML) solutions without writing code. Analyze data using generative AI. Prepare data for machine learning.

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Machine Learning Machine Learning AWS ML 125

Mlearning.ai

JUNE 16, 2023

Increase your productivity in software development with Generative AI As I mentioned in Generative AI use case article, we are seeing AI-assisted developers. Overall Generative AI in SDLC Here is how Generative AI can help in SDLC stages (we may see more use cases as Generative AI matures).

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phData

JULY 5, 2024

The release of ChatGPT in late 2022 introduced generative artificial intelligence to the general public and triggered a new wave of AI-oriented companies, products, and open-source projects that provide tools and frameworks to enable enterprise AI.

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Iguazio

JANUARY 22, 2024

Across the industry, organizations are attempting to find ways to implement generative AI in their business and operations. But doing so requires significant engineering, quality data and overcoming risks. In this blog post, we show all the elements and practices you need to to take to productize LLMs and generative AI.

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ODSC - Open Data Science

JANUARY 3, 2025

The AI Builders Summit is a four-week journey into the cutting-edge advancements in AI, designed to equip participants with practical skills and insights across four pivotal areas: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents , and the art of building comprehensive AIsystems.

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DataRobot Blog

OCTOBER 3, 2017

Many announcements at Strata centered on product integrations, with vendors closing the loop and turning tools into solutions, most notably: A Paxata-HDInsight solution demo, where Paxata showcased the general availability of its Adaptive Information Platform for Microsoft Azure. 3) Data professionals come in all shapes and forms.

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AWS Machine Learning Blog

DECEMBER 6, 2023

Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning and reinforcement learning from human feedback.

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phData

JUNE 7, 2023

In Short It is clear that AI is being used to power up businesses now more than ever, and companies that don’t use AI risk being outcompeted by those who do. The best AI-powered products are fueled by a diverse collection of high-quality data. But how do you take the first steps toward implementing AI?

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IBM Journey to AI blog

NOVEMBER 3, 2023

.” This user interface not only brings Apache Flink to anyone that can add business value, but it also allows for experimentation that has the potential to drive innovation speed up your data analytics and data pipelines. Request a live demo to see how working with real-time events can benefit your business.

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AWS Machine Learning Blog

APRIL 19, 2023

Business requirements We are the US squad of the Sportradar AI department. Thirdly, there are improvements to demos and the extension for Spark. Follow our GitHub repo , demo repository , Slack channel , and Twitter for more documentation and examples of the DJL! Zach Kimberg is a Software Developer in the Amazon AI org.

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phData

OCTOBER 25, 2024

It’s common to have terabytes of data in most data warehouses, data quality monitoring is often challenging and cost-intensive due to dependencies on multiple tools and eventually ignored. This results in poor credibility and data consistency after some time, leading businesses to mistrust the data pipelines and processes.

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BAIR

FEBRUARY 18, 2024

This is enforced with the `more` excerpt separator. --> AI caught everyone’s attention in 2023 with Large Language Models (LLMs) that can be instructed to perform general tasks, such as translation or coding, just by prompting. In this post, we analyze the trend toward compound AI systems and what it means for AI developers.

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phData

JULY 2, 2024

Snowpark, offered by the Snowflake AI Data Cloud , consists of libraries and runtimes that enable secure deployment and processing of non-SQL code, such as Python, Java, and Scala. Developers can seamlessly build data pipelines, ML models, and data applications with User-Defined Functions and Stored Procedures.

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Tableau

DECEMBER 7, 2022

Every company today is being asked to do more with less, and leaders need access to fresh, trusted KPIs and data-driven insights to manage their businesses, keep ahead of the competition, and provide unparalleled customer experiences. But good data—and actionable insights—are hard to get. What is Salesforce Data Cloud for Tableau?

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