CIO Business Intelligence

SEPTEMBER 9, 2022

It’s difficult to visualise the true scale of AI, as it’s almost certainly more than you imagine – it’s going to contribute more to the global economy than the current GDP of India and China combined. PwC research suggests that AI could contribute as much as $15.7 However, for all the promise of AI, there remain challenges.

Testing 122

Testing Data Processing Machine Learning Business Intelligence 122

Smart Data Collective

AUGUST 26, 2022

AI technology has helped companies boost profitability and increase efficiency in many ways. According to most surveys, 90% of the most successful companies use AI to some degree. One of the most beneficial applications of AI is in the realm of tax compliance. AI is Becoming Essential for Promoting Tax Compliance.

Cost-Benefit 109

Cost-Benefit Software Data-driven Technology 109

IBM Big Data Hub

JANUARY 25, 2024

We all want to see our ideal human values reflected in our technologies. We expect technologies such as artificial intelligence (AI) to not lie to us, to not discriminate, and to be safe for us and our children to use. These issues require more than a technical, algorithmic or AI-based solution.

Predictive Modeling 84

Predictive Modeling Modeling Risk Statistics 84

Octopai

AUGUST 8, 2023

Battle Creek, Michigan — July 18, 2023 — Octopai, a global leader in data lineage and business intelligence automation, and Demand Chain AI, a pioneer in AI-driven demand forecasting and supply chain optimization, have today announced a strategic partnership.

Digital Transformation 52

Digital Transformation Metadata Forecasting Data-driven 52

CIO Business Intelligence

DECEMBER 7, 2023

Over the last year, generative AI—a form of artificial intelligence that can compose original text, images, computer code, and other content—has gone from experimental curiosity to a tech revolution that could be one of the biggest business disruptors of our generation. First, it is clear that generative AI will transform business.

Insurance 60

Insurance Experimentation Finance Data Governance 60

CIO Business Intelligence

JUNE 29, 2022

Here is what we are seeing, in our extensive interactions with businesses worldwide: The winners lay the right foundations: Successful adopters of predictive analytics know that deriving value from the software first requires an outstanding data and tech foundation.

Predictive Analytics 132

Predictive Analytics Analytics Data-driven Forecasting 132

O'Reilly on Data

APRIL 19, 2021

During the first weeks of February, we asked recipients of our Data & AI Newsletter to participate in a survey on AI adoption in the enterprise. First, we wanted to understand how the use of AI grew in the past year. More people are working with AI. These results that interest and use of AI is worldwide and growing.

Enterprise 359

Enterprise Modeling Risk Manufacturing 359

CIO Business Intelligence

AUGUST 11, 2023

There’s a saying that rules were meant to be broken, but I don’t really think that is true. Despite numerous stories about companies restricting generative AI use in the workplace, employees don’t seem to be using it any less. If we don’t learn from history, we’re doomed to repeat it Shadow AI has the potential to eclipse Shadow IT.

IT 81

IT Data Processing Risk Strategy 81

IBM Big Data Hub

APRIL 13, 2023

Some organizations are looking to improve business operations by moving from legacy ERP to SAP S/4HANA®, SAP’s next-generation ERP software, while others want to replace manual processes with AI and automation. Here are three considerations for adopting RISE with SAP and BREAKTHROUGH with IBM for RISE with SAP.

Consulting 76

Consulting Software Cost-Benefit Management 76

O'Reilly on Data

JULY 28, 2020

The Core Responsibilities of the AI Product Manager. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle. If you’re an AI product manager (or about to become one), that’s what you’re signing up for. Identifying the problem.

Marketing 363

Marketing Experimentation Metrics Testing 363

CIO Business Intelligence

FEBRUARY 28, 2023

This year’s event will explore themes of 5G acceleration, immersive technology, open networks, fintech, and ‘Digital Everything’, encompassing intelligent solutions, Internet-of-Things, Industry 4.0, and how every industry and enterprise stand to benefit from these immense opportunities in the digital space within a global digital ecosystem.

Digital Transformation 78

Digital Transformation Internet of Things Data Lake Enterprise 78

IBM Big Data Hub

JUNE 30, 2022

According to a recent Institute for Business Value (IBV) study , 97% of enterprises have either piloted, implemented or integrated cloud into their operations. Moving, managing and integrating data in a hybrid multicloud ecosystem requires the right data strategy, design and governance to eliminate silos and streamline data access.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

IBM Big Data Hub

APRIL 28, 2022

To reduce delays, human errors and overall costs, data and IT leaders need to look beyond traditional data best practices and shift toward modern data management agility solutions that are powered by AI. Consequently, a data fabric self-manages and automates data discovery, governance and consumption, which enables.

Metadata 78

Metadata Data Warehouse Forecasting Predictive Modeling 78

CIO Business Intelligence

APRIL 19, 2022

But the market demands something more, in the form of end-to-end automation capabilities that push beyond efficiency into other outcomes such as innovation, growth, and true business resiliency. Automation is leaving massive business value on the table. In many cases, the outcomes are limited to efficiency. DNA matters.

Digital Transformation 100

Digital Transformation Insurance ROI Business Objectives 100

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. The benefits of AI are immense.

Insurance 69

Insurance Risk Risk Management Manufacturing 69

IBM Big Data Hub

APRIL 12, 2022

When prioritization of these goals is decided and agreed upon by all, the enterprise can more easily achieve true alignment, resulting in a collaborative, data-driven environment. When I joined IBM in 2016, our business strategy centered on hybrid cloud and AI. Governance with a focus on transparency to instill trust.

Data Strategy 76

Data Strategy Strategy Enterprise Data-driven 76

CIO Business Intelligence

DECEMBER 19, 2022

This is when we saw CIOs came back into the game, saying, “I think we are doing well on app monetization, but the only way we’re going to see true digital transformation is if we become a cloud company.” The solution is the Real-Time Data Cloud. Enterprises need agility not just with the app but also with the backend systems.

Digital Transformation 133

Digital Transformation Marketing Enterprise Technology 133

CIO Business Intelligence

JANUARY 19, 2023

The research, conducted by International Data Corporation (IDC) and commissioned by SUSE surveyed 838 respondents in 11 Asia/Pacific countries across a range of industries such as financial services and insurance, telecommunications, and government.

Software 114

Software Enterprise Digital Transformation Insurance 114

Cloudera

JUNE 7, 2022

Capitalizing on the potential requires the ability to harness the value of all of that data, no matter where it is. As the company who taught the world the value of big data, we always knew it would be. And we were cited by those same analysts as rating better than all vendors for hybrid and multi-cloud analytic solutions.

IT 112

IT Data Architecture Unstructured Data Big Data 112

DataRobot

NOVEMBER 22, 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.

Risk 52

Risk Machine Learning Modeling Technology 52

IBM Big Data Hub

JULY 19, 2023

The exponential leap in generative AI is already transforming many industries: optimizing workflows , helping human teams focus on value added tasks and accelerating time to market. Life sciences industry is beginning to take notice and aims to leapfrog the technological advances.

Consulting 60

Consulting Machine Learning Manufacturing Optimization 60

CIO Business Intelligence

AUGUST 17, 2023

Generative AI is widely regarded as one of the great technology breakthroughs of our time. But, as with any big new wave, there is a risk of once-promising projects being washed up and there are clear and obvious concerns over governance, quality and security. But overall, we see this as a huge opportunity.

Risk 87

Risk Cost-Benefit Strategy Experimentation 87

CIO Business Intelligence

DECEMBER 6, 2023

This article was co-authored by Shail Khiyara, President & COO, Turbotic, and Rodrigo Madanes, EY Global Innovation AI Leader. Many enterprises are accelerating their artificial intelligence (AI) plans, and in particular moving quickly to stand up a full generative AI (GenAI) organization, tech stacks, projects, and governance.

Enterprise 110

Enterprise Strategy Modeling Interactive 110

AWS Big Data

APRIL 24, 2023

It allows you to access diverse data sources, build business intelligence dashboards, build AI and machine learning (ML) models to provide customized customer experiences, and accelerate the curation of new datasets for consumption by adopting a modern data architecture or data mesh architecture.

Data Lake 80

Data Lake Data Governance Cost-Benefit Machine Learning 80

Sisense

MARCH 12, 2020

It’s true that the usual obstacles to data-driven innovation have never been easier to overcome. It’s a challenge, to be sure, but it also offers opportunities for innovators in enterprises to create new value and new revenue for their customers via analytics products and services. A proven track record. You have the advantage!

Enterprise 83

Enterprise Data-driven Digital Transformation Contextual Data 83

Jet Global

NOVEMBER 20, 2023

Over the last few decades, we’ve seen at least three distinct generations of BI technologies introduced to the market: First Generation Products like Crystal Reports, Brio, ProClarity and Siebel Analytics primarily offered thick-client reporting solutions to replace the historically manual production of “paper reports” ubiquitous in every company.

Business Intelligence 52

Business Intelligence IT Operational Reporting Reporting 52

CIO Business Intelligence

JANUARY 11, 2023

This is no longer true. “As Improving business intimacy and alignment Business intimacy enables CIOs to increase their relevance, enhancing their ability to deliver business value. Increasing business alignment while driving efficiency and productivity with automation and AI tools are important goals in any economic environment.

Digital Transformation 145

Digital Transformation Cost-Benefit Consulting Enterprise 145

CIO Business Intelligence

JUNE 23, 2022

Capitalizing on the potential requires the ability to harness the value of all of that data, no matter where it is. As the company who taught the world the value of big data, we always knew it would be. And we were cited by those same analysts as rating better than all vendors for hybrid and multi-cloud analytic solutions.

IT 73

IT Data Architecture Unstructured Data Big Data 73

CIO Business Intelligence

MARCH 11, 2022

This leaves IT leaders stuck navigating a wave of transparency, security, and governance roadblocks that are impeding the imperative for data-first modernization. For example, Finance relies on one set of systems and data whereas Marketing or HR is dependent on a wholly different set of solutions.

Digital Transformation 72

Digital Transformation Data Strategy Enterprise Risk 72

bridgei2i

MARCH 11, 2021

How Can Small Businesses Benefit from an AI Data Company? From eliminating the need for human assistance in repetitive tasks to reducing the risk of human errors in manual processes – AI can do a lot for large-scale businesses. Understanding the Value of Artificial Intelligence for Small Businesses. in the system.

Key Performance Indicator 52

Key Performance Indicator Data Governance Data Lake Metadata 52

AWS Big Data

JANUARY 17, 2024

This allows you to simplify security and governance over transactional data lakes by providing access controls at table-, column-, and row-level permissions with your Apache Spark jobs. Many large enterprise companies seek to use their transactional data lake to gain insights and improve decision-making.

Data Lake 93

Data Lake Snapshot Big Data Data-driven 93

CIO Business Intelligence

NOVEMBER 23, 2022

According to Bizzdesign’s survey of over 1,000 enterprise architects and IT business leaders, the top priorities to improve the impact of EA in 2022 include improving communication about the value of EA to the business (56%) as well as improving the development and adoption of EA processes (50%).

Enterprise 118

Enterprise Cost-Benefit Digital Transformation Strategy 118

CIO Business Intelligence

JUNE 13, 2022

They can do that, for example, by adopting true agile principles where business and developers work collaboratively and iteratively side by side. Sarah Angel-Johnson, CIO and vice president of business and technology solutions with Save the Children, says she has made user experience one of her top priorities. Customer experience.

IT 143

IT Digital Transformation Strategy Internet of Things 143

CIO Business Intelligence

MARCH 30, 2022

Irvin Bishop: We have recently consolidated our operating model from 13 business units down to three market sectors so that we can go to market with an integrated solution approach. We can develop and deliver innovative solutions while focusing on quality, cost-effectiveness, schedule, scope, and safety.

Modeling 98

Modeling IT IoT Internet of Things 98

Birst BI

AUGUST 23, 2018

A key goal of AI or machine learning automation is to have machines complete tasks for you, freeing up time so you can focus on the more complex, higher-value tasks. However, there are simply not enough data scientists in the world to deliver on the AI potential. The Outsourcing of Data Science Functions.

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Cloudera

SEPTEMBER 2, 2020

Additionally, lines of business (LOBs) are able to gain access to a shared data lake that is secured and governed by the use of Cloudera Shared Data Experience (SDX). CDP Private Cloud provides tremendous opportunities for our Partners to provide value-added services by helping customers: . in an on-premise environment.

Cost-Benefit 69

Cost-Benefit Data Warehouse Data Lake Machine Learning 69

Cloudera

JUNE 1, 2021

This means we can double down on our strategy – continuing to win the Hybrid Data Cloud battle in the IT department AND building new, easy-to-use cloud solutions for the line of business. Consistent security and governance matters. Today marks the beginning of an exciting new chapter for Cloudera. Our strategy.

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144