CIO Business Intelligence

JUNE 23, 2022

Leading industry analysts rated Cloudera better at analytic and operational data use cases than many well-known cloud vendors. We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020.

IT 84

IT Data Architecture Unstructured Data Big Data 84

DataRobot Blog

MARCH 10, 2022

This vision is being realized through use cases including: Real-Time Predictive Maintenance?—? Leveraging Snowflake and DataRobot for Speed and Scale. Python is unarguably the most broadly used programming language throughout the data science community. Time-Series Forecasting?—? Factory Monitoring?—?

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

Laminar Security

DECEMBER 11, 2023

In this article, we will explain how to use DDR to gain early warning into data leakage from insider threats and help minimize resulting damages. Data Detection and Response (DDR) is a data security solution that aims to provide real time activity monitoring and early warning into possible breaches for data across the entire data lifecycle.

Behavioral Analytics 55

Behavioral Analytics Machine Learning Risk Cost-Benefit 55

AWS Big Data

OCTOBER 4, 2023

Amazon DataZone enables customers to discover, access, share, and govern data at scale across organizational boundaries, reducing the undifferentiated heavy lifting of making data and analytics tools accessible to everyone in the organization. We are excited to announce the general availability of Amazon DataZone.

Metadata 96

Metadata Data Lake Publishing Data Governance 96

DataRobot Blog

MARCH 16, 2023

One of the most common challenges today in the adoption of AI is that far too many projects do not complete and fail to deliver clear business outcomes. In speaking with hundreds of our customers over the past year, and analyzing projects further, we quickly realized that a new approach to AI was needed.

Experimentation 98

Experimentation Data-driven Modeling Metadata 98

IBM Big Data Hub

SEPTEMBER 20, 2023

Foundational models (FMs) are marking the beginning of a new era in machine learning (ML) and artificial intelligence (AI) , which is leading to faster development of AI that can be adapted to a wide range of downstream tasks and fine-tuned for an array of applications.

Modeling 88

Modeling Enterprise Software Machine Learning 88

Cloudera

NOVEMBER 28, 2023

With its rise in popularity generative AI has emerged as a top CEO priority, and the importance of performant, seamless, and secure data management and analytics solutions to power those AI applications is essential. This means you can expect simpler data management and drastically improved productivity for your business users.

Management 84

Management Cost-Benefit Data-driven Testing 84

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. .

Testing 307

Testing Machine Learning Consulting Data Quality 307

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. Accurate models today become inaccurate tomorrow.

Machine Learning 94

Machine Learning Modeling Experimentation Visualization 94

CIO Business Intelligence

APRIL 8, 2022

But, if you can’t use your data as a differentiator to gain new insights, develop new products and services, enter new markets, and better meet the needs of existing ones, you’re not fully monetizing your data. To better understand why, let’s look back at what has stalled AI in the past and what continues to challenge today’s enterprises.

Modeling 76

Modeling Machine Learning IoT Enterprise 76

IBM Big Data Hub

MAY 9, 2023

Today is a revolutionary moment for Artificial Intelligence (AI). After some impressive advances over the past decade, largely thanks to the techniques of Machine Learning (ML) and Deep Learning , the technology seems to have taken a sudden leap forward. The answer is that generative AI leverages recent advances in foundation models.

Data Warehouse 107

Data Warehouse Cost-Benefit Machine Learning Modeling 107

DataRobot Blog

DECEMBER 20, 2022

The use of artificial intelligence (AI) in the investment sector is proving to be a significant disruptor, catalyzing the connection between the different players and delivering a more vivid picture of the future risk and opportunities across all different market segments. Real estate investments are not an exception.

Management 59

Management Machine Learning Optimization Modeling 59

DataRobot Blog

DECEMBER 15, 2022

AI-powered Time Series Forecasting may be the most powerful aspect of machine learning available today. By simplifying Time Series Forecasting models and accelerating the AI lifecycle, DataRobot can centralize collaboration across the business—especially data science and IT teams—and maximize ROI.

Forecasting 81

Forecasting Modeling ROI Machine Learning 81

IBM Big Data Hub

JANUARY 16, 2024

Businesses are increasingly embracing data-intensive workloads, including high-performance computing, artificial intelligence (AI) and machine learning (ML). Regardless of the technology that IBM used to develop these applications or services, operating them requires hardware that consumes power.

IT 92

IT Cost-Benefit Consulting Measurement 92

IBM Big Data Hub

SEPTEMBER 18, 2023

Enterprise adoption of AI has doubled over the past five years, with CEOs today stating that they face significant pressure from investors, creditors and lenders to accelerate adoption of generative AI. Many enterprises have been reserved to go “all in” on AI, as certain unknowns within the technology erode inherent trust.

Modeling 85

Modeling Enterprise Testing Cost-Benefit 85

IBM Big Data Hub

JANUARY 30, 2024

Increasingly, enterprise organizations are adopting a multicloud approach—the use of cloud services from more than one cloud vendor—to optimize performance, control costs and prevent vendor lock-in. to total $678.8 billion in 2024, up from $563.6 billion in 2023. to total $678.8 billion in 2024, up from $563.6 billion in 2023.

Strategy 99

Strategy Cost-Benefit Risk Optimization 99

bridgei2i

MARCH 3, 2021

PODCAST: Making AI Real. Episode 4: Unlocking the Value of Enterprise AI with Data Engineering Capabilities. Unlocking the Value of Enterprise AI with Data Engineering Capabilities. Tune in to the podcast to know more about the evolving industry and how new technologies are transforming the enterprise AI landscape.

Enterprise 98

Enterprise Digital Transformation Data-driven Interactive 98

IBM Big Data Hub

AUGUST 4, 2023

Data democratization helps companies make data-driven decisions by creating systems and adopting tools that allow anyone in the organization, regardless of their technical background, to access, use and talk about the data they need with ease. Beyond the technical aspects, the goals are far loftier.

Data Architecture 64

Data Architecture Data Lake Machine Learning Data Governance 64

DataRobot

DECEMBER 16, 2021

Today, we’re excited to deliver two final key milestones for the year, extending the power of AI Cloud for a core community and delivering game-changing new features and capabilities in our latest 7.3 DataRobot Core for Expert Data Scientists: Build Fast and Deliver at Scale with a Code-First Experience. And we’re not slowing down.

Forecasting 98

Forecasting Modeling Data-driven Data Science 98

AWS Big Data

DECEMBER 21, 2023

The data products used inside the company include insights from user journeys, operational reports, and marketing campaign results, among others. smava’s Data Platform team faced the challenge to deliver data to stakeholders with different SLAs, while maintaining the flexibility to scale up and down while staying cost-efficient.

Data Lake 85

Data Lake Data Warehouse Data-driven B2B 85

Alation

MARCH 24, 2022

These terms are often used interchangeably, and to much confusion. In this blog, we’ll compare and contrast data privacy and security, and make the case that both are essential and complementary for an effective data governance program. They want to exercise their right to control their private data: Who uses it, when, and how.

Data Governance 52

Data Governance Risk Data-driven Measurement 52

CIO Business Intelligence

APRIL 12, 2022

Infosys will fold oddity into Wongdoody, the US consumer insights agency it bought in 2018. It certainly started off that way, with Microsoft agreeing to pay $68.7 billion for Activision Blizzard, dwarfing the $28.3 billion that Oracle agreed to pay for health software provider Cerner. billion for Activision Blizzard, dwarfing the $28.3

Enterprise 143

Enterprise Technology Consulting Software 143

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52