IBM Big Data Hub

JULY 26, 2023

The emergence of generative AI and foundation models has revolutionized the way every business, across industries, operates at this current inflection point. This is especially true in the HR function, which has been pushed to the forefront of the new AI era.

Digital Transformation 68

Digital Transformation Cost-Benefit Data-driven Strategy 68

IBM Big Data Hub

JANUARY 12, 2024

The integration of artificial intelligence (AI) has ushered in a new era of technological progress, offering a spectrum of benefits across industries. Jamworks has two core products: Jamworks for Education and Jamworks for Business. “AI is driving a revolution in education, accessibility and productivity.

Data-driven 101

Data-driven Interactive Data Processing Technology 101

Smart Data Collective

JULY 16, 2023

Big data is the most important business trend of the 21st century. It has completely changed the game in business and finance. The Imperative of Risk Mitigation A crucial element in the world of financial investments is effective hedge fund management. The usage, volume, and types of data have increased significantly.

ROI 70

ROI Data Analytics Analytics Risk Management 70

Ontotext

FEBRUARY 12, 2024

How does data mesh help organizations and lines of business? As organizations become more data-driven, different use cases will always require different types of transformations, putting a heavy load on the centralized teams. It’s important to note that implementing data mesh should be a business initiative rather than a technical one.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

erwin

NOVEMBER 28, 2019

The International Enterprise Architecture Institute (IEAI) defines enterprise architecture (EA) as “the analysis and documentation of an enterprise in its current and future states from an integrated strategy, business and technology perspective.”. In the era of data-driven business, such perspective is critical.

Enterprise 145

Enterprise Data-driven Data Governance Digital Transformation 145

Cloudera

OCTOBER 18, 2023

Historically, firms have relied on high-cost, third-party solutions to help identify savings opportunities, however, the landscape is rapidly changing, and the emergence of AI and machine learning (ML) has ushered in a new era of possibilities. Automated documentation generation: Generating documentation is time consuming and tedious.

Cost-Benefit 77

Cost-Benefit Testing Machine Learning Optimization 77

CIO Business Intelligence

OCTOBER 25, 2023

We see that the majority of AI/ML traffic is being driven by manufacturing, which may offer a glimpse into the rapid innovation and transformation driven by Industry 4.0. Zscaler The risks of leveraging AI and ML tools As we discussed in a recent blog , the risks of using generative AI tools in the enterprises are significant.

Enterprise 128

Enterprise Risk Manufacturing Finance 128

IBM Big Data Hub

FEBRUARY 21, 2022

Since then, we’ve seen lockdowns, fluctuating openings and closings, some firms going out of business altogether, celebrations of essential retail workers and a surge in online shopping that brought record profits while yielding more ambiguous results for others. to an estimated total of $4.56 trillion in the US in 2021.

Digital Transformation 80

Digital Transformation Data-driven Uncertainty Strategy 80

erwin

NOVEMBER 21, 2019

The International Enterprise Architecture Institute (IEAI) defines enterprise architecture (EA) as “the analysis and documentation of an enterprise in its current and future states from an integrated strategy, business and technology perspective.”. In the era of data-driven business, such perspective is critical.

Enterprise 77

Enterprise Data-driven Data Governance Digital Transformation 77

Domino Data Lab

APRIL 29, 2021

Summary: APIs will get better at transferring model components from one application to another and transferring pipelines to production. Transfer learning entails more than just sharing pre-trained models. Transfer learning, feature sharing, and model deployment may soon be made easier thanks to your favorite deep learning API.

Data Science 134

Data Science Deep Learning Modeling Forecasting 134

erwin

NOVEMBER 21, 2019

The International Enterprise Architecture Institute (IEAI) defines enterprise architecture (EA) as “the analysis and documentation of an enterprise in its current and future states from an integrated strategy, business and technology perspective.”. In the era of data-driven business, such perspective is critical.

Enterprise 72

Enterprise Data-driven Data Governance Digital Transformation 72

Jedox

OCTOBER 8, 2020

We are pleased to welcome renowned finance expert Mr. Brian Kalish back to the Jedox blog. In this blog, he explains why scenario planning is now more important than ever and, most importantly, what it can and can’t do. . FP&A teams should be helping their business leaders consider a wide range of scenarios.

Uncertainty 75

Uncertainty Cost-Benefit Unstructured Data Data-driven 75

bridgei2i

JUNE 3, 2020

Consumer Technology & Durables (CTD) in the COVID-19 Era. CTD’s growth over the last two decades was aided by technological innovation and the steady drop of electronics components’ costs, driven by economies of scale. This explains the exponential growth Consumer Technology & Durables (CTD) has seen in the past few years.

Technology 92

Technology Digital Transformation Recreation/Entertainment Manufacturing 92

Cloudera

JUNE 1, 2021

Cloudera will benefit from the operating capabilities, capital support and expertise of Clayton, Dubilier & Rice (CD&R) and KKR – two of the most experienced and successful global investment firms in the world recognized for supporting the growth strategies of the businesses they back. Our business strategy remains fully intact.

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

IBM Big Data Hub

JULY 26, 2023

In the era of digital transformation, digital twins are emerging as a potent solution to energy production challenges. This approach results in higher extraction rates and increased profitability for businesses. The use of digital twins is one such innovation. Digital twins are an invaluable tool in this effort.

Technology 55

Technology Cost-Benefit Optimization Internet of Things 55

Sisense

MARCH 31, 2020

Automate Data Workflows with Data Model APIs. APIs are an essential part of software building in the modern era. Sisense uses an API-driven architecture to help product teams easily automate, integrate, extend, and embed analytics. Technical Product Marketing Manager with Sisense. Three steps to actionable analytics.

Analytics 52

Analytics Visualization Customer Analytics Data-driven 52

Ontotext

JULY 29, 2021

The Semantic Web, both as a research field and a technology stack, is seeing mainstream industry interest, especially with the knowledge graph concept emerging as a pillar for data well and efficiently managed. In this post you will discover the aspects of the Semantic Web that are key to enterprise data, knowledge and content management.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

Rita Sallam

APRIL 2, 2023

To extend the Bake-Off experience to a broader range of vendors, including smaller innovators, we also did a series of Show Floor Showdowns for analytics and BI, data science and machine learning and for data management. This blog highlights some notable findings and the videos from participating vendors.

Optimization 52

Optimization Machine Learning Insurance Risk 52

Sisense

MARCH 26, 2021

Companies surveyed by Harvard Business Review Analytic Services (HBR) report that two of the most important strategic benefits of using data analytics are (1) identifying new revenue and business models and (2) becoming more innovative. 39% of companies want to identify new revenue and business opportunities with data analytics.

Analytics 98

Analytics Data-driven Dashboards Experimentation 98

Sisense

JUNE 12, 2019

we gave attendees a sneak preview into AI Exploration Paths which provide an AI-guided experience for business users to dig deeper and explore their analytics. This is just the first of a long series of AI-driven capabilities that we will see throughout the product in the coming months. Back to my session. Data has gone mainstream.

Analytics 75

Analytics Data-driven Dashboards IoT 75

Alation

JULY 30, 2021

6 Business Problems Data Catalogs Solve. CIOs seek salespeople who use plain language to describe complex business problems. The question I ask now is: What business problems does a data catalog solve for business customers? And in the era of Big Data, less is more. Instead it’s a different business model.”

Data Warehouse 52

Data Warehouse Data Governance Machine Learning Data-driven 52

Jet Global

JUNE 5, 2019

In the modern era, businesses are continually looking for a competitive advantage—something that will allow them to deliver goods or services at a lower cost, higher quality, and faster speed than their competitors. The path to doing so begins with the quality and volume of data they are able to collect. Toiling Away in the Data Mines.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Sisense

OCTOBER 28, 2019

We all want to make things that leave a mark, no matter if it’s in our personal lives or in business. This desire absolutely weighs heavily on the minds of the people who work with business intelligence and analytics platforms. The drive to build is innate. Who is a builder? These could be data engineers, developers, or analysts.

Analytics 63

Analytics Visualization Data-driven Machine Learning 63

Sisense

MAY 28, 2020

In the Clouds is where we explore the ways cloud-native architecture, cloud data storage, and cloud analytics are changing key industries and business practices, with anecdotes from experts, how-to’s, and more to help your company excel in the cloud era. Data is the bedrock on which the future of business is being built.

Internet of Things 83

Internet of Things Metadata Data-driven Unstructured Data 83

Cloudera

SEPTEMBER 11, 2020

The ongoing disruption to critical supply chains in both the manufacturing and retail space has seen businesses having to respond quickly, turning to data, analytics, and new technologies to better predict and manage ‘real-time’ business disruptions. . Broader data sets . That is no longer good enough.

Manufacturing 87

Manufacturing Forecasting Digital Transformation Sales 87

Cloudera

MARCH 28, 2024

At a time when AI is exploding in popularity and finding its way into nearly every facet of business operations, data has arguably never been more valuable. More recently, that value has been made clear by the emergence of AI-powered technologies like generative AI (GenAI) and the use of Large Language Models (LLMs).

Data Architecture 89

Data Architecture Strategy Data Lake Data-driven 89

datapine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs. What Is Cloud Computing?

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

IBM Big Data Hub

AUGUST 17, 2023

This year, the USTA is using watsonx , IBM’s new AI and data platform for business. Bringing together traditional machine learning and generative AI with a family of enterprise-grade, IBM-trained foundation models, watsonx allows the USTA to deliver fan-pleasing, AI-driven features much more quickly.

Unstructured Data 93

Unstructured Data Statistics Consulting Enterprise 93

Cloudera

OCTOBER 19, 2023

Telecommunications companies are currently executing on ambitious digital transformation, network transformation, and AI-driven automation efforts.

Data-driven 74

Data-driven Data Architecture Predictive Modeling Digital Transformation 74

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI plays a pivotal role as a catalyst in the new era of technological advancement. PwC calculates that “AI could contribute up to USD 15.7 trillion in value.

Machine Learning 77

Machine Learning Manufacturing Cost-Benefit Deep Learning 77

Cloudera

DECEMBER 20, 2021

The right set of tools helps businesses utilize data to drive insights and value. Another option — a more rewarding one — is to include centralized data management, security, and governance into data projects from the start. The company’s improved insights and business successes take root in complex data from many sources.

Metadata 86

Metadata Data-driven Cost-Benefit Digital Transformation 86

DataRobot Blog

DECEMBER 20, 2022

In this context, an augmented intelligence approach around the data will be increasingly more critical for asset managers, investors, and real estate developers to ensure a better understanding of the real estate assets and take better decisions aimed at optimizing both the Net Asset Value and the Net Operating Income.

Management 59

Management Machine Learning Optimization Modeling 59

IBM Big Data Hub

SEPTEMBER 11, 2023

On June 7, 1983, a product was born that would revolutionize how organizations would store, manage, process , and query their data: IBM Db2. Codd published his famous paper “ A Relational Model of Data for Large Shared Data Banks.” Over the past 40 years, Db2 has been on an exciting and transformational journey.

Machine Learning 89

Machine Learning Cost-Benefit IoT Data Warehouse 89

IBM Big Data Hub

AUGUST 3, 2023

In our hundreds of generative AI engagements with clients around the world, enterprises are trying to balance massive value creation with risk mitigation—and they face a shortage of the necessary “AI for business” skills. And IBM is already applying this approach internally with IBM HR.

Consulting 40

Consulting Data-driven Enterprise ROI 40

erwin

DECEMBER 6, 2019

In the data-driven era, CIO’s need a solid understanding of data governance 2.0 … Data governance (DG) is no longer about just compliance or relegated to the confines of IT. Team Resources : Most successful organizations have established a formal data management group at the enterprise level. Data Security.

Data Governance 145

Data Governance Metadata Enterprise Data-driven 145

IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. This siloed approach often resulted in data redundancy and complexity, hampering integration with other business systems.

OLAP 62

OLAP Slice and Dice Cost-Benefit Data Warehouse 62

IBM Big Data Hub

AUGUST 17, 2023

IBM iX , the experience design arm of IBM Consulting, and IBM’s AI consultants work with the United States Tennis Association (USTA) to integrate technology from dozens of partners, automate key business processes and develop new features. Most importantly though, the teams focus on delivering world-class digital experiences to fans.

Consulting 53

Consulting Digital Transformation Recreation/Entertainment Unstructured Data 53