DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. Because it is such a new category, both overly narrow and overly broad definitions of DataOps abound. AccelData —Observability for analytics & AI. Datatron — Automates deployment and monitoring of AI models.

Testing 304

Testing Machine Learning Consulting Data Science 304

O'Reilly on Data

NOVEMBER 28, 2023

Generative AI has been the biggest technology story of 2023. In enterprises, we’ve seen everything from wholesale adoption to policies that severely restrict or even forbid the use of generative AI. Our survey focused on how companies use generative AI, what bottlenecks they see in adoption, and what skills gaps need to be addressed.

Enterprise 344

Enterprise Testing Modeling Reporting 344

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 111

Enterprise Finance Consulting Management 111

IBM Big Data Hub

NOVEMBER 14, 2023

IBM named a Leader In the report, Forrester Research evaluated 15 digital process automation (DPA) providers against 26 criteria in three categories: Current offering, Strategy and Market presence. In addition, IBM received the highest possible score in vision, innovation and partner ecosystem in the Strategy category.

Software 108

Software Reporting Strategy Marketing 108

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 111

Data Lake Machine Learning Big Data Data-driven 111

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 121

Visualization Experimentation Publishing Interactive 121

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

Octopai

APRIL 19, 2021

This blog focuses on business analysis, strategy, enterprise data management, and upcoming events. The data management category touches upon new platforms, the structure of a good data team, and developing sound strategy. The blog is run by IRM UK, which focuses on IT training for businesses, management, and professionals.

Metadata 59

Metadata Management Business Intelligence Data Governance 59

CIO Business Intelligence

MARCH 18, 2024

of Nvidia’s enterprise-spanning AI software platform will feature a smorgasbord of microservices designed to speed app development and provide quick ways to ramp up deployments, the company announced today at its GPU Technology Conference. A host of further integrations is also coming to AI Enterprise 5.0, Nvidia’s AI Enterprise 5.0

Enterprise 98

Enterprise Data Processing Optimization Modeling 98

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 131

Risk Enterprise Software Marketing 131

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

Cloudera

SEPTEMBER 27, 2024

Cloudera customers understand the potential impact of data, analytics, and AI on their respective businesses — reducing costs, managing risk, improving customer satisfaction, and generating new business opportunities that help to increase market share. So we built an interactive tour showcasing that impact throughout a typical day.

Interactive 90

Interactive Data-driven Data Analytics Risk 90

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 Measurement Modeling Software 90

CIO Business Intelligence

MAY 3, 2024

United Parcel Service last year turned to generative AI to help streamline its customer service operations. Customer service is emerging as one of the top use cases for generative AI in today’s enterprise, says Daniel Saroff, group vice president of consulting and research at IDC.

Testing 140

Testing Sales Enterprise Digital Transformation 140

Smart Data Collective

FEBRUARY 28, 2023

Here at Smart Data Collective, we have blogged extensively about the changes brought on by AI technology. Over the past few months, many others have started talking about some of the changes that we blogged about for years. While the technology is not new, this is being referred to as the year for AI.

Machine Learning 117

Machine Learning Risk Cost-Benefit Marketing 117

Timo Elliott

JANUARY 6, 2022

In a previous blog , I explored the value of dark data and how it can reveal insights that can streamline processes, improve customer experiences, generate more revenue – and maybe even help make the world a better place. Going back to a core theme from my last blog, the best detectors of valuable data are people. Aggregate and pool.

IT 135

IT Metadata Data-driven Data Governance 135

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 Data Science Marketing Reporting 105

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

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 143

Deep Learning Machine Learning Consulting Modeling 143

Cloudera

NOVEMBER 26, 2020

While all our winners are doing phenomenal work, one of the most exciting awards of the night was The Data for Enterprise AI category. The Data for Enterprise AI winner – Experian BIS. We believe next year will deliver some real treasures in terms of artificial intelligence (AI) and ML innovation.

B2B 105

B2B Machine Learning Big Data Data-driven 105

CIO Business Intelligence

JULY 10, 2024

Businesses are investing great sums of money in generative AI – to the point that GenAI spending in 2025 will be nearly seven times greater than it was in 2022, according to IDC historical data and forecasts. One way to gain perspective on those questions is assessing the extent to which AI has noticeably impacted cybersecurity tools.

Risk 123

Risk Marketing Metadata Technology 123

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

Smart Data Collective

JUNE 5, 2021

A growing number of marketing professionals are finding new ways to utilize AI to expand their reach. One of the most important ways that marketers can benefit from AI is with search engine marketing. It is important to understand the role that AI is playing with new search engine algorithms. What is Latent Semantic Indexing?

Strategy 138

Strategy Marketing Data-driven Machine Learning 138

Ontotext

JANUARY 10, 2025

Generative AI (GenAI) models, such as GPT-4, offer a promising solution, potentially reducing the dependency on labor-intensive annotation. This blog post summarizes our findings, focusing on NER as a first-step key task for knowledge extraction. Introduction In the real world, obtaining high-quality annotated data remains a challenge.

Informatics 59

Informatics Modeling Metadata Experimentation 59

Smart Data Collective

MAY 19, 2022

More companies are using data analytics and AI to optimize their marketing strategies. Sprout Social has a blog post on accomplishing this. LinkedIn demographics targeting option has two categories – member gender and member age. The field of study category focuses on a member’s degree’s major area of study.

Data Analytics 145

Data Analytics Analytics Big Data Advertising 145

Cloudera

SEPTEMBER 17, 2020

Data for Enterprise AI. This year we are also excited to announce a new award category — the Data Impact Achievement Award. for Enterprise AI. for Enterprise AI. for Enterprise AI. for Enterprise AI. for Enterprise AI. Jim Curtis, Senior Research Analyst, Data, AI & Analytics, 451 Research.

B2B 98

B2B Enterprise Data-driven Data Science 98

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 Deep Learning Risk 119

Cloudera

DECEMBER 3, 2021

In part 1 of this blog post, we discussed the need to be mindful of data bias and the resulting consequences when certain parameters are skewed. In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. An AI system trained on data has no context outside of that data.

Uncertainty 102

Uncertainty Measurement Metrics Risk 102

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 133

Enterprise Manufacturing Risk Data-driven 133

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 124

Machine Learning Marketing Strategy Optimization 124

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 98

Data Lake Data Governance Machine Learning Cost-Benefit 98

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 92

Data Analytics Analytics Cost-Benefit Data-driven 92

Cloudera

AUGUST 21, 2024

The CRN Tech Innovator Awards spotlight innovative products and services across 36 categories, with winners chosen by CRN staff from over 320 product applications. release was named a finalist under the category of Business Intelligence and Data Analytics. AI is at the forefront of nearly every business’ list of priorities.

Snapshot 66

Snapshot Unstructured Data Data Architecture Data Warehouse 66

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 89

Risk Measurement Modeling Risk Management 89

The Data Visualisation Catalogue

JANUARY 24, 2023

Therefore, I wanted to comment on the rise of ChatGPT and how I think AI tools could impact data visualisation work now and in the future, as I believe it’s significant. After consuming a number of YouTube videos, blog posts, articles, and playing around with ChatGPT, I felt the need to write down my thoughts and observations on the topic.

Visualization 113

Visualization Interactive Data-driven Testing 113

Cloudera

JUNE 6, 2024

Recently, Cloudera, alongside OCBC, were named winners in the“ Best Big Data and Analytics Infrastructure Implementation ” category at The Asian Banker’s Financial Technology Innovation Awards 2024. As we celebrate this win, let’s explore the work that Cloudera and OCBC did together and why a trusted AI is so critical to effective AI.

Contextual Data 83

Contextual Data Data Lake Data-driven Risk 83