IBM Big Data Hub

DECEMBER 20, 2023

An AI strategy helps organizations address the complex challenges associated with AI implementation and define its objectives. A successful AI strategy will also provide a roadmap for addressing challenges, building necessary capabilities and ensuring a strategic and responsible application of AI into the fabric of the organization.

Strategy 78

Strategy Business Objectives Cost-Benefit Consulting 78

IBM Big Data Hub

FEBRUARY 20, 2024

These proactive measures are made possible by evolving technologies designed to help people adapt to the effects of climate change today. Predictions range as high as 5 degrees Celsius or more by the end of the 21st century, according to the Climate Science Special Report from the U.S. And how will humans adapt to them then?

Modeling 121

Modeling Forecasting Reporting Risk 121

IBM Big Data Hub

APRIL 18, 2024

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. It might suggest a restaurant based on preferences and current popularity.

Cost-Benefit 95

Cost-Benefit Modeling Manufacturing Interactive 95

DataKitchen

FEBRUARY 21, 2023

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” Data team morale is consistent with DataKitchen’s own research. We surveyed 600 data engineers , including 100 managers, to understand how they are faring and feeling about the work that they are doing.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

datapine

MAY 21, 2019

“BI is about providing the right data at the right time to the right people so that they can take the right decisions” – Nic Smith. Data analytics isn’t just for the Big Guys anymore; it’s accessible to ventures, organizations, and businesses of all shapes, sizes, and sectors. And the success stories are seemingly endless.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards Slice and Dice 183

Cloudera

DECEMBER 14, 2021

But with growing demands, there’s a more nuanced need for enterprise-scale machine learning solutions and better data management systems. The 2021 Data Impact Awards aim to honor organizations who have shown exemplary work in this area. . It is also the winning solution in this category. Internal Revenue Service.

Data Lake 110

Data Lake Machine Learning Big Data Data-driven 110

DataKitchen

SEPTEMBER 20, 2021

Data organizations don’t always have the budget or schedule required for DataOps when conceived as a top-to-bottom, enterprise-wide transformational change. DataOps can and should be implemented in small steps that complement and build upon existing workflows and data pipelines. Figure 1: The four phases of Lean DataOps.

Testing 246

Testing Metrics Measurement Dashboards 246

CIO Business Intelligence

SEPTEMBER 8, 2022

Every ten years it seems there is a new technology that is going to change the world, but all too often only leads to disappointment when adopting it becomes too challenging. I always told my team and customers that long-term success with AI solutions is driven by people, not technology. Be clear on the “why”.

Machine Learning 115

Machine Learning Cost-Benefit Data-driven Digital Transformation 115

Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Cloudera

JUNE 2, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. This need has generated a market opportunity for a universal data distribution service. Why does every organization need it when using a modern data stack?

Enterprise 103

Enterprise Data Lake Data Collection Data-driven 103

DataRobot Blog

JULY 28, 2022

Of course, finding a compromise is necessary to a certain degree, but rather than simply compromising, finding the optimal solution within that trade-off is the key to creating maximum business value. As a DataRobot data scientist , I have worked with team members on a variety of projects to improve the business value of our customers.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

Cloudera

AUGUST 6, 2021

This landscape is one that presents opportunities for a modern data-driven organization to thrive. At the nucleus of such an organization is the practice of accelerating time to insights, using data to make better business decisions at all levels and roles. Strategy and culture are core components of a data driven organization .

Data-driven 104

Data-driven B2B Data Strategy Strategy 104

Cloudera

JULY 27, 2021

This is an important step for our company and for our telecommunications and media customers and partners, adding significant momentum and acceleration to our development of solutions for the industry. When it comes to Data and AI, the industry is increasingly committed to a hybrid cloud approach.

Big Data 61

Big Data Data Architecture Enterprise Data Science 61

CIO Business Intelligence

JULY 13, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. This need has generated a market opportunity for a universal data distribution service. Why does every organization need it when using a modern data stack?

Enterprise 86

Enterprise Data Lake Data Collection Data-driven 86

IBM Big Data Hub

OCTOBER 16, 2023

Examples of AI bias in the real world show us that when discriminatory data and algorithms are baked into AI models, the models deploy biases at scale and amplify the resulting negative effects. Companies are motivated to tackle the challenge of bias in AI not only to achieve fairness, but also to ensure better results.

Advertising 75

Advertising Machine Learning Data Architecture Cost-Benefit 75

Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Consulting Enterprise 78

AWS Big Data

MAY 4, 2023

Encored Technologies (Encored) is an energy IT company in Korea that helps their customers generate higher revenue and reduce operational costs in renewable energy industries by providing various AI-based solutions. It allows for efficient data storage and transmission, as well as easy manipulation of the data using specialized software.

Data-driven 52

Data-driven Technology Cost-Benefit Machine Learning 52

Sisense

APRIL 15, 2021

Your company is gathering data (and has likely been doing so for years), and you’ve probably got a system or two to glean insights from that data to make smarter decisions. Whatever you do and however you do it, augmented analytics serve up deeper intelligence from data with less heavy lifting. Analytics is the future.

Analytics 98

Analytics Data Science Modeling Machine Learning 98

Jet Global

AUGUST 14, 2020

Tax needs to consider innovative ways to collect and process financial data, moving away from manual manipulation and reconciliation to more forward-thinking analytics for real-time decision-making.”. The growth in demand for corporate tax technologists, taxologists, or even taxnologists, has long been predicted.

Data-driven 98

Data-driven Forecasting Reporting Technology 98

IBM Big Data Hub

NOVEMBER 29, 2023

With the emergence of new advances and applications in machine learning models and artificial intelligence, including generative AI, generative adversarial networks, computer vision and transformers, many businesses are seeking to address their most pressing real-world data challenges using both types of synthetic data: structured and unstructured.

Metrics 87

Metrics Machine Learning Risk Statistics 87

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 111

IT Data Architecture Unstructured Data Big Data 111

Cloudera

FEBRUARY 9, 2021

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.

Data Warehouse 69

Data Warehouse Cost-Benefit Metadata Management 69

IBM Big Data Hub

JANUARY 10, 2023

Without a doubt, there is exponential growth in the access to and volume of process data we all, as individuals, have at our fingertips. Not only can data support a more compelling change management strategy, but it’s also able to identify, accelerate and embed change faster, all of which is critical in our continuously changing world.

Management 52

Management Data-driven Data mining Business Objectives 52

Ontotext

SEPTEMBER 30, 2021

Large enterprises have identified knowledge graphs as a solid foundation for making data FAIR and unlocking the value of their data assets. Data fabrics built on FAIR data drive digital transformation initiatives that put companies ahead of the competition. Common Challenges in Knowledge Graph Projects.

Interactive 52

Interactive Data-driven Visualization Modeling 52

Sisense

JUNE 18, 2020

Delivering additional value to your customers by providing data-driven insights is a sure-shot way to improve your competitive advantage and monetize your data. Delivering additional value to your customers by providing data-driven insights is a sure-shot way to improve your competitive advantage and monetize your data.

Analytics 88

Analytics Visualization Data Processing Testing 88

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. This blog post provides a concise session summary, a video, and a written transcript. data science’s emergence as an interdisciplinary field – from industry, not academia. Session Summary. Key highlights from the session include.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Jedox

FEBRUARY 13, 2019

When I hear or read that artificial intelligence (AI) is “disrupting” financial planning and analysis, I tend to challenge the premise. As organizations strive to implement an analytics culture for data-driven decision making, AI can be an important component in that process. How Financial Planning and Analysis Benefits from AI.

IT 53

IT Finance Cost-Benefit Unstructured Data 53

CDW Research Hub

APRIL 17, 2019

Splunk recently released a security eBook to help companies understand the challenges and action steps to a security program that utilizes data to stay ahead of attacks. Collect basic security logs and other machine data from your environment. Access to data necessary to perform basic investigations. Stage 1: Collection.

Analytics 40

Analytics Data-driven Machine Learning Metadata 40

Domino Data Lab

JANUARY 6, 2019

In Paco Nathan ‘s latest column, he explores the theme of “learning data science” by diving into education programs, learning materials, educational approaches, as well as perceptions about education. He is also the Co-Chair of the upcoming Data Science Leaders Summit, Rev. Learning Data Science.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

O'Reilly on Data

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Almost everybody’s played with ChatGPT, Stable Diffusion, GitHub Copilot, or Midjourney. A few have even tried out Bard or Claude, or run LLaMA 1 on their laptop. But 18% already have applications in production. Only 4% pointed to lower head counts.

Enterprise 271

Enterprise Modeling Testing Reporting 271

Cloudera

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use. People selling information.

Data Governance 74

Data Governance Strategy Enterprise Machine Learning 74

O'Reilly on Data

OCTOBER 13, 2020

Similarly, in “ Building Machine Learning Powered Applications: Going from Idea to Product ,” Emmanuel Ameisen states: “Indeed, exposing a model to users in production comes with a set of challenges that mirrors the ones that come with debugging a model.”. The field of AI product management continues to gain momentum.

Management 244

Management Metrics Machine Learning Modeling 244

O'Reilly on Data

MAY 14, 2020

Understanding exactly what you’re doing, and how it relates to other kinds of projects, will be a huge help in researching and building solutions. Understanding exactly what you’re doing, and how it relates to other kinds of projects, will be a huge help in researching and building solutions. AI is no different.

Management 363

Management Experimentation B2B Machine Learning 363

AWS Big Data

SEPTEMBER 29, 2023

In today’s digital age, data is at the heart of every organization’s success. One of the most commonly used formats for exchanging data is XML. Analyzing XML files can help organizations gain insights into their data, allowing them to make better decisions and improve their operations.

Metadata 65

Metadata Visualization Data-driven Optimization 65

IBM Big Data Hub

DECEMBER 7, 2023

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 63

OLAP Slice and Dice Cost-Benefit Data Warehouse 63

IBM Big Data Hub

OCTOBER 20, 2023

AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually. trillion is likely to come from consumption-side effects.” AI plays a pivotal role as a catalyst in the new era of technological advancement. trillion in value.

Machine Learning 78

Machine Learning Manufacturing Cost-Benefit Deep Learning 78

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Companies, both big and small, are seeking the finest ways to leverage their data into a competitive advantage.

Big Data 263

Big Data Data Analytics Analytics Data mining 263