IBM Big Data Hub

FEBRUARY 22, 2024

The rise of foundation models that power the growth of generative AI and other AI use cases offers exciting possibilities—yet it also raises new questions and concerns about their ethical design, development, deployment, and use. Known risks from prior or earlier forms of AI systems.

Modeling 66

Modeling Risk Strategy Enterprise 66

IBM Big Data Hub

FEBRUARY 2, 2024

Not an easy task when you need to celebrate the achievements and stories of more than 1,000 nominees across nearly 100 categories. A generative AI content engine fueled by trusted data This year’s solution uses watsonx to leverage a powerful large language model (LLM) hosted in the watsonx.ai

Recreation/Entertainment 61

Recreation/Entertainment Broadcasting Consulting Dashboards 61

Jet Global

NOVEMBER 23, 2020

Blogs to Read as a CFO. Are you looking for blog posts for CFOs by CFOs? His blog talks about his experiences as a CFO and gives perspective from both start-up and mature companies. As such, it should come as no surprise that they have a blog tailored to CFOs. Whitepapers and Guides. Tools and Calculators. Sample Reports.

KPI 52

KPI Finance Dashboards Data Processing 52

CIO Business Intelligence

SEPTEMBER 12, 2023

Generative AI has taken the world seemingly by storm, impacting everything from software development, to marketing, to conversations with my kids at the dinner table. At the recent Six Five Summit , I had the pleasure of talking with Pat Moorhead about the impact of Generative AI on enterprise cybersecurity.

Risk 127

Risk Enterprise Software Marketing 127

O'Reilly on Data

MAY 14, 2020

In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager. In this article, we shift our focus to the AI Product Manager’s skill set, as it is applied to day to day work in the design, development, and maintenance of AI products. AI is no different.

Management 363

Management Experimentation B2B Machine Learning 363

Cloudera

OCTOBER 18, 2021

Data for Enterprise AI . Read more about the Data for Enterprise AI category here . Read more about the Data for Good category here . Read more about the Data Lifecycle Connection category here . Read more about the Data Security and Governance category here . Commonwealth Bank of Australia .

Enterprise 106

Enterprise Finance Consulting Management 106

IBM Big Data Hub

MAY 1, 2023

Along with the explosion of information technology in the 1950’s, the term ‘artificial intelligence’ (AI) was coined by John McCarthy in 1956. Continued advancement in AI development has resulted today in a definition of AI which has several categories and characteristics.

Insurance 82

Insurance Predictive Modeling Cost-Benefit Statistics 82

IBM Big Data Hub

SEPTEMBER 7, 2023

This is where harnessing artificial intelligence (AI) and data analytics can help. Companies that harness AI and data analytics can also make clean energy more viable overall by increasing their cost competitiveness over legacy energy sources. On average, 3.3 The latter can also help drive efficiency by lowering end-user energy use.

Data Analytics 101

Data Analytics Analytics Cost-Benefit Data-driven 101

Cloudera

DECEMBER 14, 2021

Artificial Intelligence (AI) has revolutionized how various industries operate in recent years. In 2021, the finalists under this category include the following organizations. It is also the winning solution in this category. Winner of the Data Impact Awards 2021: Data for Enterprise AI. Commonwealth Bank of Australia.

Data Lake 107

Data Lake Machine Learning Big Data Data-driven 107

DataKitchen

DECEMBER 6, 2022

We can see in the diagram below that Gartner sees the operational tools as distinct from the various DB/ETL/viz/AI/governance tool that makes up the typical data stack today. Second, the components of the DataOps software solution match very well with how we have thought about the market and match the features of our products. .”

Software 130

Software Marketing Data Lake Testing 130

DataRobot

AUGUST 30, 2021

As part of a blog post series on the topic of building trust in AI , we recently talked about how DataRobot organizes trust in an AI system into three main categories: performance, operations, and ethics. In each of these categories is a set of dimensions of trust. An AI system is more than just a model.

Uncertainty 90

Uncertainty Modeling Measurement Software 90

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

The Data Visualisation Catalogue

DECEMBER 13, 2021

First, locate the value scale axis and the category axis, to identify what is being visualised. Each category is assigned its own bar and the length of each bar is proportional to the value it represents. Colour-coding can be assigned to the bars to distinguish each category in the dataset. ” in each category.

Visualization 122

Visualization Experimentation Publishing Interactive 122

DataRobot

AUGUST 25, 2021

In a recent blog, we talked about how, at DataRobot , we organize trust in an AI system into three main categories: trust in the performance in your AI/machine learning model , trust in the operations of your AI system, and trust in the ethics of your modelling workflow, both to design the AI system and to integrate it with your business process.

Metrics 98

Metrics Measurement Machine Learning Data Collection 98

IBM Big Data Hub

FEBRUARY 15, 2024

The retail industry employs millions of people, and next-generation retail employees will be significantly impacted by the rise of generative AI. IBM’s study suggests, “AI can aid in stocking a more diverse array of relevant products by analyzing local customer preferences.

Technology 66

Technology Data-driven Risk Modeling 66

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 94

Reporting Scorecard Predictive Modeling Machine Learning 94

IBM Big Data Hub

JANUARY 25, 2024

In the case of responsible artificial intelligence (AI), organizations should prioritize the ability to avoid harm as a central focus. Some organizations may also aim to use AI for “doing good.” ” However, sometimes AI requires clear guardrails before one can agree with “good.”

Strategy 104

Strategy Risk Cost-Benefit Business Objectives 104

DataRobot Blog

JULY 13, 2022

This marks a full decade since some of the brightest minds in data science formed DataRobot with a singular vision: to unlock the potential of AI and machine learning for all—for every business, every organization, every industry—everywhere in the world. Watch the keynote and technical sessions on demand.

Machine Learning 105

Machine Learning Marketing Data Science Reporting 105

CIO Business Intelligence

SEPTEMBER 29, 2023

If any technology has captured the collective imagination in 2023, it’s generative AI — and businesses are beginning to ramp up hiring for what in some cases are very nascent gen AI skills, turning at times to contract workers to fill gaps, pursue pilots, and round out in-house AI project teams.

Deep Learning 142

Deep Learning Machine Learning Modeling Consulting 142

Rocket-Powered Data Science

JULY 6, 2021

In this post, we will examine ways that your organization can separate useful content into separate categories that amplify your own staff’s performance. If you include the title of this blog, you were just presented with 13 examples of heteronyms in the preceding paragraphs. Before we start, I have a few questions for you.

Strategy 266

Strategy Machine Learning Metadata Knowledge Discovery 266

IBM Big Data Hub

MARCH 4, 2024

We have all been witnessing the transformative power of generative artificial intelligence (AI), with the promise to reshape all aspects of human society and commerce while companies simultaneously grapple with acute business imperatives. We refer to this transformation as becoming an AI+ enterprise.

Enterprise 106

Enterprise ROI Risk Strategy 106

CIO Business Intelligence

OCTOBER 25, 2023

From IT, to finance, marketing, engineering, and more, AI advances are causing enterprises to re-evaluate their traditional approaches to unlock the transformative potential of AI. What can enterprises learn from these trends, and what future enterprise developments can we expect around generative AI?

Enterprise 131

Enterprise Risk Manufacturing Finance 131

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 121

Enterprise Experimentation Uncertainty Deep Learning 121

IBM Big Data Hub

MAY 8, 2023

Artificial intelligence (AI) is polarizing. In my previous post , I described the different capabilities of both discriminative and generative AI, and sketched a world of opportunities where AI changes the way that insurers and insured would interact. It excites the futurist and engenders trepidation in the conservative.

Insurance 73

Insurance Risk Testing Data Quality 73

IBM Big Data Hub

MAY 25, 2023

IBM Consulting has established a Center of Excellence for generative AI. It stands alongside IBM Consulting’s existing global AI and Automation practice, which includes 21,000 data and AI consultants who have conducted over 40,000 enterprise client engagements. The CoE is off to a fast start.

Consulting 107

Consulting Experimentation Machine Learning Modeling 107

O'Reilly on Data

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The average salary for data and AI professionals who responded to the survey was $146,000. The results are biased by the survey’s recipients (subscribers to O’Reilly’s Data & AI Newsletter ). Executive Summary.

Machine Learning 363

Machine Learning Statistics Reporting Consulting 363

IBM Big Data Hub

NOVEMBER 24, 2023

While attempting to drive acceleration and optimize cost of modernization, Generative AI is becoming a critical enabler to drive change in how we accelerate modernization programs. Let us explore the Generative AI possibilities across these lifecycle areas. We will explore key areas of acceleration with an example in this article.

Cost-Benefit 98

Cost-Benefit Testing Data-driven Enterprise 98

Data Science 101

DECEMBER 27, 2019

Global AI Bootcamp Keynote Eric Boyd from Microsoft gives an overview of the latest features in Azure AI. This was a part of the Global AI Community Bootcamp. This blog post acts more like a step-by-step tutorial. This blog post acts more like a step-by-step tutorial. It is called data-driven agriculture.

Data Science 86

Data Science Deep Learning Data-driven IT 86

DataRobot

SEPTEMBER 30, 2021

We can all agree that AI has the potential to help businesses, organizations, and society solve real problems. But there are still many concerns about the consequences of using AI improperly. In this installment of our blog post series, we will explore the question of why trust is an essential component to any conversation around AI.

Cost-Benefit 52

Cost-Benefit Machine Learning Interactive Modeling 52

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. Choose Create bucket. Create two subfolders.

Data Lake 79

Data Lake Data Governance Cost-Benefit Machine Learning 79

Cloudera

MAY 24, 2022

If you have followed my prior blog posts , you know that I have a keen interest in the topic of climate risk modeling and how it can help assess the economic impacts of climate change. These aspects include topics such as financial inclusion, wage equity, diversity, and monitoring for bias in AI initiatives. .

Risk 85

Risk Measurement Modeling Risk Management 85

DataRobot

OCTOBER 26, 2021

AI is everywhere. Still, one of the biggest obstacles to even more widespread acceptance of AI is lack of trust. DataRobot defines the benchmark of AI maturity as AI you can trust. The highest bar for AI trust can be summed up in the following question: What would it take for you to trust an AI system with your life?

Machine Learning 52

Machine Learning Modeling Technology IT 52

Smart Data Collective

SEPTEMBER 13, 2023

One of the biggest reasons that biggest ways that AI is changing the business world is with marketing. of marketers use AI in marketing to some degree or another. AI technology is especially beneficial with digital marketing, since digital marketers can take advantage of large amounts of data to optimize their strategies.

Machine Learning 97

Machine Learning Marketing Strategy Optimization 97

Cloudera

MAY 12, 2021

The 2021 Cloudera Data Impact Award categories aim to recognize organizations that are using Cloudera’s platform and services to unlock the power of data, with massive business and social impact. DATA FOR ENTERPRISE AI. A new award category for 2021. A popular category last year, and no doubt this year too. PEOPLE FIRST.

Digital Transformation 66

Digital Transformation Machine Learning Optimization Data Lake 66

Cloudera

OCTOBER 6, 2022

CIO blog post : “Digital transformation is a foundational change in how an organization delivers value to its customers.”. Optimize automation: AI and machine learning (ML) are now the key terms here, but RPA (Robotic Process Automation) still has its place in driving efficiency throughout the enterprise.

Digital Transformation 85

Digital Transformation Cost-Benefit Data Lake Machine Learning 85

IBM Big Data Hub

FEBRUARY 12, 2024

Get the ‘AI for Customer Service’ guidebook Trend 1: Sustainability for customer satisfaction A new generation of consumers creates a need for new approaches to customer relationships. AI-powered chatbots allow customers unlimited access to information via messaging. AI is not a new territory for eBay.

Consulting 76

Consulting Strategy Interactive Data Processing 76

IBM Big Data Hub

APRIL 10, 2024

The effect has increased exponentially with the advent of AI, ML, Hybrid Cloud, DevSecOps and there are more advances coming. Start your continuous modernization effort now with Cloud Pak for Applications The post The future of application delivery starts with modernization appeared first on IBM Blog.

Cost-Benefit 97

Cost-Benefit Software Risk Marketing 97