Analytics Vidhya

MARCH 13, 2023

Introduction Deep Learning has revolutionized the field of AI by enabling machines to learn and improve from large amounts of data. Mediapipe, a cross-platform and open-source framework for building multimodal ML pipelines, has introduced a new Tasks API that makes it easier than ever to incorporate Deep Learning models into your projects.

Deep Learning 282

Deep Learning IT Modeling Analytics 282

Dataiku

JANUARY 12, 2023

Not long ago, just having a data science team allowed executives to say they were "doing AI," but that has changed. In the past few years, companies across industries have used machine learning (ML) and AI technologies to streamline processes and improve experiences leading to increased revenues at lower costs.

Machine Learning 98

Machine Learning Data Science Technology Analytics 98

CIO Business Intelligence

APRIL 8, 2024

Computer vision, AI, and machine learning (ML) all now play a role. Here are three examples of how international sports organizations are using AI and ML to change the way players and coaches approach their sports. During each week of games, the platform captures and processes 6.8

Analytics 112

Analytics Broadcasting Predictive Analytics Metrics 112

Analytics Vidhya

APRIL 24, 2023

Introduction We live in a world where social media platforms shape our interests, tailor our news feeds, and provide customized content, all thanks to machine learning! With machine learning (ML), a branch of artificial intelligence (AI), software programs can predict outcomes more accurately without being explicitly instructed.

Machine Learning 271

Machine Learning Software Analytics Technology 271

David Menninger's Analyst Perspectives

APRIL 14, 2021

Organizations are becoming more and more data-driven and are looking for ways to accelerate the usage of artificial intelligence and machine learning (AI/ML). Developing and deploying AI/ML models can be complicated in many ways, often involving different tools and services to manage these solutions from end to end.

Machine Learning 261

Machine Learning Data-driven Software Modeling 261

O'Reilly on Data

MARCH 19, 2020

We use it as a data source for our annual platform analysis , and we’re using it as the basis for this report, where we take a close look at the most-used and most-searched topics in machine learning (ML) and artificial intelligence (AI) on O’Reilly [1]. Growth in ML and AI is unabated.

Deep Learning 276

Deep Learning Machine Learning Data-driven Modeling 276

CIO Business Intelligence

JANUARY 18, 2024

No one questions the tremendous impact generative artificial intelligence (gen AI) platforms and tools will have on the future of work. Half of CEOs say their organization is at least somewhat unprepared for AI and machine learning (ML) adoption, according to Workday’s C-Suite Global AI Indicator Report.

Finance 122

Finance Machine Learning Risk Management Optimization 122

O'Reilly on Data

FEBRUARY 19, 2021

MLOps attempts to bridge the gap between Machine Learning (ML) applications and the CI/CD pipelines that have become standard practice. ML presents a problem for CI/CD for several reasons. Responsible Machine Learning (ML) is a movement to make AI systems accountable for the results they produce. Request a demo.

Data Lake 289

Data Lake Data Warehouse Machine Learning Modeling 289

IBM Big Data Hub

APRIL 9, 2024

Through a partnership spanning more than 25 years, IBM has helped the Augusta National Golf Club capture, analyze, distribute and use data to bring fans closer to the action, culminating in the AI-powered Masters digital experience and mobile app.

Management 87

Management IT Machine Learning Metrics 87

O'Reilly on Data

OCTOBER 31, 2019

Watch “ Opening keynote “ Accelerating ML at Twitter. Watch “ Accelerating ML at Twitter “ The latest from TensorFlow. Megan Kacholia explains how Google’s latest innovations provide an ecosystem of tools for developers, enterprises, and researchers who want to build scalable ML-powered applications.

IoT 190

IoT Machine Learning Modeling Software 190

CIO Business Intelligence

MARCH 18, 2024

ThreatHunter.ai, with its elite team of threat hunters, engineers, and cybersecurity experts, employs the ARGOS platform to provide real-time threat detection and mitigation. Our AI and ML-driven technologies have been pivotal in safeguarding organizations from the ever-evolving tactics of cyber adversaries. “We ThreatHunter.ai

Sales 111

Sales Machine Learning Measurement Technology 111

O'Reilly on Data

DECEMBER 10, 2019

Most companies don’t have the AI expertise to implement Karpathy’s vision. Training models isn’t well understood yet, at least not within companies that haven’t already invested significantly in technology (in general) or AI (in particular). Nor are building data pipelines and deploying ML systems well understood. and Matroid.

Software 261

Software Machine Learning Risk Data-driven 261

IBM Big Data Hub

FEBRUARY 23, 2024

Conversational artificial intelligence (AI) leads the charge in breaking down barriers between businesses and their audiences. This class of AI-based tools, including chatbots and virtual assistants, enables seamless, human-like and personalized exchanges.

Enterprise 106

Enterprise Interactive Data-driven Key Performance Indicator 106

Cloudera

MARCH 26, 2024

Today, 44% of organizations are experimenting with generative AI, with 10% having already implemented it in operational settings. Companies must act now in order to stay in the AI Race. We’ve built a comprehensive AI stack designed to empower businesses to develop AI applications faster and more efficiently.

Cost-Benefit 79

Cost-Benefit Machine Learning Enterprise Modeling 79

DataRobot Blog

MARCH 8, 2023

Leveraging DataRobot’s JDBC connectors, enterprise teams can work together to train ML models on their data residing in SAP HANA Cloud and SAP Data Warehouse Cloud, as well as have an option to enrich it with data from external data sources. Tune in to learn more. Registration is free for both events.

Enterprise 105

Enterprise Experimentation Machine Learning Modeling 105

CIO Business Intelligence

MARCH 29, 2024

That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. The company now has several business processes fully automated with homegrown code and AI.

Data Lake 131

Data Lake Machine Learning Data Warehouse Unstructured Data 131

IBM Big Data Hub

FEBRUARY 14, 2024

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? The easy answer is mostly manual labor, although the day might come when much of what is now manual labor will be accomplished by robotic devices controlled by AI. We’re all amazed by what AI can do.

Cost-Benefit 89

Cost-Benefit Insurance Unstructured Data Machine Learning 89

Cloudera

APRIL 23, 2024

Jake Bengtson Jake is the Technical Evangelism Director at Cloudera, where he specializes in demonstrating how Cloudera’s Lakehouse supports Generative AI and the entire data lifecycle. In the meantime, get to know some of the judges who made this Hackathon such a success. The post Climate and Sustainability Hackathon—Meet the Judges!

Machine Learning 85

Machine Learning Data Science Data Processing Data-driven 85

CIO Business Intelligence

FEBRUARY 14, 2023

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. Here, I’ll focus on why these three elements and capabilities are fundamental building blocks of a data ecosystem that can support real-time AI.

Data Strategy 111

Data Strategy Strategy Machine Learning Data-driven 111

CIO Business Intelligence

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. Real-time AI involves processing data for making decisions within a given time frame.

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

Laminar Security

DECEMBER 13, 2023

This is where artificial intelligence (AI) steps in, offering innovative solutions to enhance these processes. Learn in this article how Laminar harnesses AI for data discovery and classification and reduces public cloud data risks. However, the advent of AI and machine learning (ML) has revolutionized this process.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

CIO Business Intelligence

FEBRUARY 9, 2024

From the initial kickoff at Allegiant Stadium in Las Vegas for Super Bowl LVIII on Sunday, an artificial intelligence platform will be tracking every move on the field to help keep players safer. Like many other professional sports leagues, the NFL has been at the leading edge of data-driven transformation for years.

Recreation/Entertainment 132

Recreation/Entertainment Data-driven Risk Digital Transformation 132

O'Reilly on Data

JANUARY 29, 2019

A recent survey investigated how companies are approaching their AI and ML practices, and measured the sophistication of their efforts. The current generation of AI and ML methods and technologies rely on large amounts of data—specifically, labeled training data.

Deep Learning 208

Deep Learning Machine Learning Data Science Metadata 208

CIO Business Intelligence

JUNE 23, 2023

According to Sam Ansari, CEO at data engineering and machine learning (ML) platform Accure, in the current digital era, data has evolved from being a mere byproduct to the pivotal fuel that propels innovation and drives business success. Data Center Management, IT Strategy

Data Strategy 111

Data Strategy Strategy Visualization Consulting 111

CIO Business Intelligence

MARCH 11, 2024

Not all platforms, however, provide the key capabilities required to enable AIOps and observability functionality. For example, AI can only provide valuable insights if it has access to a wide array of data about the IT environment — such as logs, events, tickets, etc. IT professionals are already overwhelmed by alerts and tasks.

IT 98

IT Digital Transformation Reporting Predictive Analytics 98

CIO Business Intelligence

APRIL 25, 2022

Enterprises are betting big on machine learning (ML). According to IDC , 85% of the world’s largest organizations will be using artificial intelligence (AI) — including machine learning (ML), natural language processing (NLP) and pattern recognition — by 2026. The problem with ML.

Machine Learning 132

Machine Learning Enterprise Deep Learning Cost-Benefit 132

Cloudera

AUGUST 17, 2023

Machine Learning (ML) is at the heart of the boom in AI Applications, revolutionizing various domains. From powering intelligent Large Language Model (LLM) based chatbots like ChatGPT and Bard , to enabling text-to-AI image generators like Stable Diffusion , ML continues to drive innovation.

Software 71

Software Risk Manufacturing Finance 71

CIO Business Intelligence

MARCH 18, 2024

SAP and Nvidia announced an expanded partnership today with an eye to deliver the accelerated computing that customers need in order to adopt large language models (LLMs) and generative AI at scale. One thing that doesn’t really work with RAG is code generation,” added Kari Ann Briski, Nvidia’s VP of generative AI software product management.

Digital Transformation 112

Digital Transformation Optimization Modeling Enterprise 112

CIO Business Intelligence

MARCH 13, 2023

As Michael Dell predicts , “Building systems that are built for AI first is really inevitable.” As a current example, consider ChatGPT by OpenAI, an AI research and deployment company. Read the result below: (From ChatGPT, by OpenAI : an AI research and deployment company.)

Technology 145

Technology Machine Learning Data-driven Testing 145

AWS Big Data

JANUARY 17, 2024

it’s now effortless to integrate with AI/ML models to power semantic search and other use cases. To use neural search, you must set up an ML model. We recommend configuring AI/ML connectors to AWS AI and ML services (such as Amazon SageMaker or Amazon Bedrock ) or third-party alternatives.

Dashboards 95

Dashboards Data Processing Modeling Machine Learning 95

CIO Business Intelligence

JANUARY 19, 2024

The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect. It’s a good place to start if you’re new to AI or AI on Azure and want to demonstrate your skills and knowledge to employers.

Data Science 122

Data Science Machine Learning Predictive Modeling Experimentation 122

Dataiku

JANUARY 8, 2024

In the past few years, machine learning (ML) has gone from a discipline restricted to data scientists and engineers to the mainstream of business and analytics.

Machine Learning 81

Machine Learning Modeling Predictive Modeling Analytics 81

CIO Business Intelligence

MARCH 5, 2024

Not all platforms, however, provide the key capabilities required to enable AIOps and observability functionality. For example, AI can only provide valuable insights if it has access to a wide array of data about the IT environment — such as logs, events, tickets, etc. IT professionals are already overwhelmed by alerts and tasks.

IT 88

IT Digital Transformation Predictive Analytics Reporting 88

CIO Business Intelligence

FEBRUARY 27, 2024

It’s a balance of accelerating digital initiatives such as AI with the need to securely transform IT operations and increase business. The answer is the network platform. The platform powers network devices to help you deliver your business outcomes and provides the agility needed to address unforeseen use cases.

Risk 97

Risk Predictive Analytics Machine Learning Technology 97

Cloudera

JANUARY 30, 2024

In the dynamic landscape of modern manufacturing, AI has emerged as a transformative differentiator, reshaping the industry for those seeking the competitive advantages of gained efficiency and innovation. There are many functional areas within manufacturing where manufacturers will see AI’s massive benefits.

Manufacturing 78

Manufacturing Contextual Data IoT Digital Transformation 78

DataRobot Blog

SEPTEMBER 1, 2022

The latest McKinsey Global Survey on AI proves that AI adoption continues to grow and that the benefits remain significant. At the same time, AI remains complex and out of reach for many. Operational Efficiency with AI Inside. To prevent delays in productionalizing AI , many organizations invest in MLOps.

Metrics 145

Metrics Statistics Modeling Data Science 145

CIO Business Intelligence

JUNE 7, 2022

But the success of their AI initiatives depends on more than just data and technology — it’s also about having the right people on board. An effective enterprise AI team is a diverse group that encompasses far more than a handful of data scientists and engineers. Data scientists are the core of any AI team. ML engineer.

Machine Learning 145

Machine Learning Data Science Consulting Metrics 145