Cloudera

FEBRUARY 11, 2022

In recent years, Ethical AI has become an area of increased importance to organisations. Advances in the development and application of Machine Learning (ML) and Deep Learning (DL) algorithms, require greater care to ensure that the ethics embedded in previous rule-based systems are not lost. What is A Machine Learning Model .

Machine Learning 92

Machine Learning Sales Data Science Modeling 92

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

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 113

Data Strategy Strategy Machine Learning Data-driven 113

CIO Business Intelligence

SEPTEMBER 20, 2023

Artificial Intelligence (AI) and Machine Learning (ML): AI and ML are rapidly gaining traction as a means of automating processes and improving decision-making. While both positions are crucial in their own way, the top priorities for CIO and CISO can often differ. billion in 2022.

Digital Transformation 106

Digital Transformation Risk Management Risk Machine Learning 106

IBM Big Data Hub

DECEMBER 20, 2023

Artificial intelligence (AI) is a transformative force. By giving machines the growing capacity to learn, reason and make decisions, AI is impacting nearly every industry, from manufacturing to hospitality, healthcare and academia. Without an AI strategy, organizations risk missing out on the benefits AI can offer.

Strategy 79

Strategy Business Objectives Cost-Benefit Consulting 79

IBM Big Data Hub

OCTOBER 4, 2022

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation. Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. IBM Global AI Adoption Index 2022.).

Metadata 102

Metadata Risk Risk Management Experimentation 102

IBM Big Data Hub

AUGUST 22, 2023

It uses real-world data (both real time and historical) combined with engineering, simulation or machine learning (ML) models to enhance operations and support human decision-making. Traditional AI models versus foundation models These capabilities can help to continuously determine the state of the physical object.

Unstructured Data 80

Unstructured Data Consulting Visualization IoT 80

CIO Business Intelligence

SEPTEMBER 21, 2023

The advent of gen AI changed everything, and the pace of that change is like nothing we’ve seen before. According to McKinsey, gen AI is poised to add up to an annual $4.4 Today’s foundational models are jacks-of-all-trades. But there’s also the downside: the possibility gen AI will take companies down. Everyone wants it.

Enterprise 129

Enterprise Consulting Modeling Cost-Benefit 129

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. For example, a recent IDC study 1 shows that it takes about 290 days on average to deploy a model into production from start to finish.

Metrics 145

Metrics Statistics Modeling Data Science 145

IBM Big Data Hub

MAY 9, 2023

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation to become business critical for many organizations. While the promise of AI isn’t guaranteed and may not come easy, adoption is no longer a choice. So what is stopping AI adoption today? It is an imperative.

Metadata 78

Metadata Risk Experimentation Dashboards 78

CIO Business Intelligence

DECEMBER 13, 2023

When I think about unstructured data, I see my colleague Rob Gerbrandt (an information governance genius) walking into a customer’s conference room where tubes of core samples line three walls. Advances in AI, particularly generative AI, have made deriving value from unstructured data easier. What’s different now?

Unstructured Data 97

Unstructured Data IoT Metadata Modeling 97

Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines. Security & Governance.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

IBM Big Data Hub

NOVEMBER 29, 2023

By leveraging AI for real-time event processing, businesses can connect the dots between disparate events to detect and respond to new trends, threats and opportunities. AI and event processing: a two-way street An event-driven architecture is essential for accelerating the speed of business.

Unstructured Data 92

Unstructured Data Data-driven ROI Machine Learning 92

DataRobot

NOVEMBER 16, 2021

Many organizations, including state and local governments, are dipping their toes into machine learning (ML) and artificial intelligence (AI). As we’ve discussed in this blog series, some are already reaping the rewards of AI through increased productivity, cost savings, etc. What is MLOps? Issues with Deployment.

Cost-Benefit 98

Cost-Benefit Machine Learning Modeling Risk 98

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

MAY 18, 2023

Forrester Research just released “ The Forrester Wave™: AI Decisioning Platforms, Q2 2023: The 13 Providers That Matter Most And How They Stack Up ” by Mike Gualtieri with Aaron Katz, Catherine Marcin, and Jen Barton, and IBM is proud to be recognized as a Leader.

Reporting 95

Reporting Scorecard Predictive Modeling Machine Learning 95

DataRobot Blog

FEBRUARY 28, 2023

Integrating different systems, data sources, and technologies within an ecosystem can be difficult and time-consuming, leading to inefficiencies, data silos, broken machine learning models, and locked ROI. Maximizing Existing Snowflake Investments Some businesses have spent significant money on tools to remain innovative and competitive.

Data Processing 72

Data Processing Experimentation Machine Learning Modeling 72

CIO Business Intelligence

OCTOBER 13, 2023

Generative AI is quickly changing the landscape of the business world, with rapid adoption rates across nearly every industry. Businesses are turning to gen AI to streamline business processes, develop proprietary AI technology, and reduce manual efforts in order to free up employees to take on more intensive tasks.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

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 70

Software Risk Manufacturing Finance 70

Cloudera

OCTOBER 11, 2022

A recent VentureBeat article , “4 AI trends: It’s all about scale in 2022 (so far),” highlighted the importance of scalability. The article goes on to share insights from experts at Gartner, PwC, John Deere, and Cloudera that shine a light on the critical role that data plays in scaling AI. . This excerpt from the article sums it up:

Snapshot 89

Snapshot Data Science Digital Transformation Metadata 89

Ontotext

JANUARY 29, 2024

In 2023, data leaders and enthusiasts were enamored of — and often distracted by — initiatives such as generative AI and cloud migration. Although corporate pressures may prompt organizations to “do something with AI,” being data-driven must come first and remain top priority.

Strategy 52

Strategy Management Metadata Data-driven 52

IBM Big Data Hub

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Today, 35% of companies report using AI in their business, which includes ML, and an additional 42% reported they are exploring AI, according to the IBM Global AI Adoption Index 2022.

Data Science 58

Data Science Machine Learning Cost-Benefit Deep Learning 58

DataRobot

NOVEMBER 12, 2021

This is a three part blog series in partnership with Amazon Web Services describing the essential components to build, govern, and trust AI systems: People, Process, and Technology. All are required for trusted AI , technology systems that align to our individual, corporate and societal ideals.

Insurance 69

Insurance Risk Risk Management Manufacturing 69

Cloudera

DECEMBER 3, 2021

In part 1 of this blog post, we discussed the need to be mindful of data bias and the resulting consequences when certain parameters are skewed. In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. An AI system trained on data has no context outside of that data.

Uncertainty 97

Uncertainty Measurement Metrics Risk 97

Cloudera

JULY 15, 2021

Some of the key points raised during this session included: Pandemic Resiliency and Opportunities to Improve. Low Probability, High Impact Events Readiness. AI and ML’s current State of Play. Modeling that was previously well established – for both commercial and consumer lines – became less reliable.

Risk 96

Risk Optimization Management Insurance 96

IBM Big Data Hub

SEPTEMBER 20, 2022

Organizations are increasingly depending upon artificial intelligence (AI) and Machine Learning (ML) to assist humans in decision making. But these organizations need to be able to trust their AI/ML models before they can be operationalized and used in crucial business processes. Comprehensive, trusted data sets.

Metadata 57

Metadata Machine Learning Data-driven Modeling 57

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 77

Manufacturing Contextual Data IoT Digital Transformation 77

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Will the model correctly determine it is a muffin or get confused and think it is a chihuahua? The extent to which we can predict how the model will classify an image given a change input (e.g. Model Visibility.

Machine Learning 81

Machine Learning Modeling Metadata Recreation/Entertainment 81

IBM Big Data Hub

FEBRUARY 7, 2024

Businesses, governments and individuals now see sustainability as a global imperative. In 2024, sustainability is taking center stage. Efforts to track and reduce emissions, environmental impact and contributions to climate change are no longer rare or optional; instead, they’ve become the norm. trillion to the global economy by 2050.

Reporting 99

Reporting Cost-Benefit Internet of Things Data-driven 99

IBM Big Data Hub

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029. Then, it can tailor marketing materials to match those interests.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

Cloudera

OCTOBER 19, 2022

With multiple speaking tracks focusing on technology, networks, and data & AI, industry leaders repeatedly highlighted the hybrid nature of their infrastructure. . In the Data Governance Masterclass, the tools review identified Cloudera as a Telco Data Governance leader for Data Management. But not just the public cloud.

Optimization 77

Optimization Data Architecture Data Governance Digital Transformation 77

IBM Big Data Hub

AUGUST 23, 2023

The recent success of artificial intelligence based large language models has pushed the market to think more ambitiously about how AI could transform many enterprise processes. However, consumers and regulators have also become increasingly concerned with the safety of both their data and the AI models themselves.

Data Governance 57

Data Governance Enterprise Modeling Risk 57

DataRobot Blog

MAY 5, 2022

Representative datasets are essential to any AI project, but current methods of building unstructured datasets are often slow and resource-intensive. DataRobot’s already market-leading AutoML, AutoTS, and MLOps products will only be able to drive more value after fully unlocking the power of data-agnostic AI. Jared Bowns. Jared Bowns.

Unstructured Data 52

Unstructured Data Modeling Enterprise Machine Learning 52

Cloudera

MAY 27, 2021

This blog post was written by Pedro Pereira as a guest author for Cloudera. . An authoritarian regime is manipulating an artificial intelligence (AI) system to spy on technology users. Big data and AI amplify the problem. “If It’s important to be conscious of this reality when creating algorithms and training models.

Machine Learning 114

Machine Learning Big Data Consulting Technology 114

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe. As machine learning advances globally, we can only expect the focus on model risk to continue to increase.

Risk 111

Risk Modeling IT Risk Management 111

Cloudera

JUNE 27, 2023

The way to achieve this balance is by moving to a modern data architecture (MDA) that makes it easier to manage, integrate, and govern large volumes of distributed data. The way to achieve this balance is by moving to a modern data architecture (MDA) that makes it easier to manage, integrate, and govern large volumes of distributed data.

Data Architecture 61

Data Architecture Predictive Modeling Data Governance Data-driven 61

Cloudera

AUGUST 20, 2020

Machine Learning (ML) and Artificial Intelligence (AI), while still emerging technologies inside of enterprise organisations, have given some companies the ability to dynamically change their fortunes and reshape the way they are doing business — that is if they are brave enough to experiment and explore the unknown.

Enterprise 120

Enterprise Experimentation Uncertainty Deep Learning 120