DataKitchen

DECEMBER 9, 2022

One of the key benefits of DataOps is the ability to accelerate the development and deployment of data-driven solutions. In addition to speeding up the development and deployment of data-driven solutions, DataOps also helps organizations to improve the quality and reliability of their data-related workflows.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

AWS Big Data

APRIL 26, 2024

AWS Lake Formation allows data administrators to centrally govern, secure, and share data for analytics and machine learning (ML). Solution overview For our use case, we want to enable a data analyst user named analyst1 to use their own enterprise credentials to query data they have been granted permissions to and audit their data access.

Analytics 99

Analytics Data Lake Management Enterprise 99

AWS Big Data

MARCH 27, 2024

AWS has invested in a zero-ETL (extract, transform, and load) future so that builders can focus more on creating value from data, instead of having to spend time preparing data for analysis. The following diagram depicts the high-level solution we build to achieve these outcomes.

Data Analytics 95

Data Analytics Analytics Data Warehouse Data Lake 95

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 126

Testing Data Processing Machine Learning Business Intelligence 126

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 89

Predictive Modeling Modeling Risk Statistics 89

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 107

Cost-Benefit Software Data-driven Technology 107

Smarten

APRIL 19, 2024

Nothing…and I DO mean NOTHING…is more prominent in technology buzz today than Artificial Intelligence (AI). The use of Generative AI, LLM and products such as ChatGPT capabilities has been applied to all kinds of industries, from publishing and research to targeted marketing and healthcare. Open AI was developed by Microsoft.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

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

Rocket-Powered Data Science

JULY 6, 2021

MLOps “done right” addresses sustainable model operations, explainability, trust, versioning, reproducibility, training updates, and governance (i.e., 4) AIOps increasingly became a focus in AI strategy conversations. This is critical in our massively data-sharing world and enterprises. will look like). will look like).

Data-driven 279

Data-driven Machine Learning IoT Deep Learning 279

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 62

Insurance Experimentation Finance Data Governance 62

bridgei2i

JULY 16, 2021

However, the emergence of AI and its synergies with evolving technologies such as cloud computing, IoT, and big data analytics, have brought enterprises to a tipping point in their journeys. In this whitepaper, we deconstruct the current digital enterprise landscape by decoding the facets of a successful enterprise AI strategy.

Enterprise 98

Enterprise Digital Transformation IoT Data-driven 98

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 134

Predictive Analytics Analytics Data-driven Forecasting 134

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 85

IT Data Processing Risk Strategy 85

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 79

Consulting Software Cost-Benefit Management 79

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 82

Digital Transformation Internet of Things Data Lake Enterprise 82

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 356

Enterprise Modeling Risk Manufacturing 356

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 362

Marketing Experimentation Metrics Testing 362

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 57

Data Strategy Strategy Business Objectives Data-driven 57

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 83

Metadata Data Warehouse Forecasting Predictive Modeling 83

Cloudera

SEPTEMBER 7, 2023

With the emergence of new creative AI algorithms like large language models (LLM) fromOpenAI’s ChatGPT, Google’s Bard, Meta’s LLaMa, and Bloomberg’s BloombergGPT—awareness, interest and adoption of AI use cases across industries is at an all time high. But it’s also fraught with risk.

Insurance 79

Insurance Risk Data-driven Finance 79

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 82

Data Strategy Strategy Enterprise Data-driven 82

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 104

Digital Transformation Insurance ROI Business Objectives 104

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

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 118

Software Enterprise Digital Transformation Insurance 118

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 134

Digital Transformation Marketing Enterprise Technology 134

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 62

Consulting Machine Learning Manufacturing Optimization 62

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

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 108

IT Data Architecture Unstructured Data Big Data 108

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 90

Risk Cost-Benefit Strategy Experimentation 90

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 113

Enterprise Strategy Modeling Interactive 113

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 82

Data Lake Data Governance Cost-Benefit Machine Learning 82

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

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

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 97

Data Lake Snapshot Big Data Data-driven 97

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 77

IT Data Architecture Unstructured Data Big Data 77

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 75

Digital Transformation Data Strategy Enterprise Risk 75

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