David Menninger's Analyst Perspectives

APRIL 13, 2020

Artificial intelligence (AI) and machine learning (ML) are all the rage right now. Our Machine Learning Dynamic Insights research shows that organizations are using these techniques to achieve a competitive advantage and improve both customer experiences and their bottom line. Let me explain what I mean.

Machine Learning 283

Machine Learning Predictive Analytics Analytics Finance 283

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. The ITF partnered with Microsoft in 2021 to power its match insights platform for the BJK Cup.

Analytics 97

Analytics Broadcasting Predictive Analytics Metrics 97

CIO Business Intelligence

JANUARY 11, 2024

CIOs are under increasing pressure to deliver AI across their enterprises – a new reality that, despite the hype, requires pragmatic approaches to testing, deploying, and managing the technologies responsibly to help their organizations work faster and smarter. Among IT leader respondents in the AI Indicator study, the No.

Enterprise 113

Enterprise Uncertainty Risk Management Reporting 113

Rocket-Powered Data Science

MARCH 20, 2023

We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Transforming data to actionable insights and informative content needs some help!

Data Warehouse 324

Data Warehouse Metadata Digital Transformation Unstructured Data 324

CIO Business Intelligence

OCTOBER 25, 2023

From IT, to finance, marketing, engineering, and more, AI advances are causing enterprises to re-evaluate their traditional approaches to unlock the transformative potential of AI. What can enterprises learn from these trends, and what future enterprise developments can we expect around generative AI?

Enterprise 129

Enterprise Risk Manufacturing Finance 129

CIO Business Intelligence

APRIL 26, 2024

The information and insights company’s foundation remains ensuring that every consumer is accurately represented in the market. The multilayered data platform will enable TransUnion’s customers to perform deep analytics and build complex AI models. Eventually, AI models will get slimmer and will move closer to the data.”

Modeling 92

Modeling IT Machine Learning Data Governance 92

Dataiku

MARCH 26, 2024

In today's data-driven landscape, businesses are increasingly relying on AI and machine learning (ML) to gain insights, make predictions, and automate processes. to understand the nuances behind model optimization, particularly the concept of fine-tuning.

Modeling 75

Modeling Machine Learning Data-driven Optimization 75

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 103

Enterprise Interactive Data-driven Key Performance Indicator 103

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 84

Management IT Machine Learning Metrics 84

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

David Menninger's Analyst Perspectives

MARCH 23, 2023

They are using various technologies including artificial intelligence and machine learning (AI/ML) to uncover granular insights that can support decision-making. Organizations are continuously searching for new business opportunities hidden in their data.

Machine Learning 130

Machine Learning Metrics Dashboards Big Data 130

AWS Big Data

NOVEMBER 15, 2023

For organizations seeking to unlock innovation with data and AI, AWS re:Invent 2023 offers several opportunities. In this post, we provide a curated list of keynotes, sessions, demos, and exhibits that will showcase how you can unlock innovation in data and AI using AWS for Data. million data points per second.

Broadcasting 111

Broadcasting Recreation/Entertainment Data Governance Strategy 111

O'Reilly on Data

MAY 18, 2020

All this change could wreak havoc on artificial intelligence (AI) systems. The most common types of AI systems are still only as good as their training data. If there’s no historical data that mirrors our current situation, we can expect our AI systems to falter , if not fail. What is an incident when it comes to an AI system?

Risk 359

Risk Modeling Data Processing Software 359

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

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 86

Cost-Benefit Insurance Unstructured Data Machine Learning 86

CIO Business Intelligence

MARCH 18, 2024

Drawing on recent events and the resilient nature of cyber threats, as highlighted in an insightful piece on the LockBit ransomware saga, it’s evident that the cybersecurity landscape is more volatile than ever. ThreatHunter.ai, a 100% Service-Disabled Veteran Owned Small Business, is a leading provider of AI-driven threat hunting solutions.

Sales 104

Sales Machine Learning Measurement Technology 104

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

Jen Stirrup

FEBRUARY 23, 2024

To achieve AI ambitions, organizations need data and a cyber-resilient data platform to support them, and this will mean a growing need for data observability. As organizations become increasingly data-driven toward achieving AI ambitions, they recognize the need to ensure data accuracy, reliability, and quality.

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Data-driven Data Governance Data Quality Cost-Benefit 73

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. Can artificial intelligence really create thoughtful insight into the future of artificial intelligence and automation?

Technology 143

Technology Machine Learning Data-driven Testing 143

Dataiku

JANUARY 17, 2024

The below article is an excerpt from our e-magazine "AI in 2024: Hot Takes From Dataiku, Deloitte, & Snowflake" and features insights from Ahmad Khan, Head of AI/ML Strategy at Snowflake.

Strategy 64

Strategy 64

CIO Business Intelligence

MARCH 11, 2024

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. The Forrester Wave™: Process-Centric AI For IT Operations (AIOps), Q2 2023. The platform should natively collect this raw data and/or integrate with systems to access it.

IT 95

IT Digital Transformation Reporting Predictive Analytics 95

DataRobot Blog

MARCH 16, 2023

Over the last 12 years, I’ve been fortunate to explore what’s possible with AI through innovation, starting with graduate school at Cornell University, to building a company based on Eureqa algorithms, and leading a team of innovators at DataRobot. It is a time-intensive process that can slow the adoption of AI across an organization.

Data Science 98

Data Science Technology Data-driven Modeling 98

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 23, 2023

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

Data Strategy 104

Data Strategy Strategy Visualization Consulting 104

CIO Business Intelligence

JANUARY 19, 2024

Cost: Free Location: Online Duration: Self-paced Expiration: Credentials do not expire Microsoft Certified: Azure AI Fundamentals Microsoft’s Azure AI Fundamentals certification validates your knowledge of machine learning and artificial intelligence concepts, and how they relate to Microsoft Azure services.

Data Science 122

Data Science Machine Learning Predictive Modeling Experimentation 122

CIO Business Intelligence

FEBRUARY 24, 2023

The motivations to digitize client-facing solutions vary but are often both push and pull: a push from your organization to grow revenues, gain competitive advantage, and further differentiate products and services, and a pull by the market looking for the latest technologies such as AI/ML, AR/VR, and digital twins for immediate business benefit.

Measurement 112

Measurement Digital Transformation Strategy Software 112

Smarten

APRIL 25, 2024

How Can I Ensure Data Quality and Gain Data Insight Using Augmented Analytics? This is where businesses will often face a second issue; namely that the analytics solution they choose is not designed to easily and quickly provide insight into data and to ensure data quality. ‘If

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

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 108

Data Strategy Strategy Machine Learning Data-driven 108

AWS Big Data

NOVEMBER 29, 2023

These announcements drive forward the AWS Zero-ETL vision to unify all your data, enabling you to better maximize the value of your data with comprehensive analytics and ML capabilities, and innovate faster with secure data collaboration within and across organizations. Let’s dive into the highlights.

Data Warehouse 99

Data Warehouse Data Lake Analytics Machine Learning 99

Cloudera

NOVEMBER 1, 2023

Elevate your AI applications with our latest applied ML prototype At Cloudera, we continuously strive to empower organizations to unlock the full potential of their data, catalyzing innovation and driving actionable insights. High-level overview of real-time data ingest with Cloudera DataFlow to Pinecone vector database.

Machine Learning 105

Machine Learning Optimization Modeling Interactive 105

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

Dataiku

FEBRUARY 13, 2024

If you didn’t already catch it, last month, Ahmad Khan , Head of AI/ML Strategy at Snowflake, and Catalina Herrera , Field CDO at Dataiku, presented a fantastic webinar. In the session, they added their insights and technical expertise on the hot takes featured in our 2024 predictions e-magazine on the future of advanced AI.

Strategy 52

Strategy IT 52

AWS Big Data

MARCH 26, 2024

Pillar 2: Unification To link the diverse data arriving from various touchpoints to a unique customer, you need to build an identity processing solution that identifies anonymous logins, stores useful customer information, links them to external data for better insights, and groups customers in domains of interest.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

CIO Business Intelligence

NOVEMBER 28, 2023

As more businesses push forward with digital transformation projects, cloud computing has stood out as a powerful tool capable of fueling the analytics that drive new technologies like artificial intelligence (AI) and machine learning (ML)—two capabilities that are quickly becoming a must-have in nearly every organization.

Digital Transformation 107

Digital Transformation Cost-Benefit Strategy Optimization 107

Dataiku

FEBRUARY 8, 2024

In the realm of modern analytics , transforming data into actionable insights hinges on providing business teams with seamless access to data to build advanced analytics pipelines. By leveraging the power of AI and lakehouse capabilities across data management and performance, business users within Dataiku can make informed decisions.

IT 59

IT Visualization Modeling Management 59

AWS Big Data

NOVEMBER 7, 2023

The most impactful data-driven insights come from connecting the dots between all your data sources—across departments, services, on-premises tools, and third-party applications. Second, organizations still need transformations like cleansing, deduplication, and combining datasets for analysis and machine learning (ML).

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Dashboards Data-driven Data Integration Data Lake 73

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