IBM Big Data Hub

SEPTEMBER 20, 2022

Automated, integrated data science tools help build, deploy, and monitor AI models. In most organizations there are a number of data science tools, making it difficult to govern and manage information, let alone adhere to increasingly strict security, compliance and governance regulations.

Data science 57

Data science Metadata Government Access 57

IBM Big Data Hub

OCTOBER 16, 2023

How to scale AL and ML with built-in governance A fit-for-purpose data store built on an open lakehouse architecture allows you to scale AI and ML while providing built-in governance tools. Enable responsible, transparent and explainable data and AI workflows with watsonx.governance.

Government 74

Government Risk Artificial Intelligence Metadata 74

Collibra

JUNE 2, 2022

Collibra Data Intelligence Cloud is an intelligent data platform that leverages the power of machine learning and provides a holistic and integrated approach to cataloging, governing, protecting, managing and collaborating with data at scale across on-premises, hybrid and multi-cloud environments.

Government 52

Government Cloud Data science Metadata 52

Bill Schmarzo - Dell EMC

MARCH 19, 2018

This is the same Amos Tversky who, along with Daniel Kahneman, was featured in Michael Lewis’s most recent book “ The Undoing Project: A Friendship That Changed Our Minds , an account of Tversky and Kahnemans’ extraordinary bond that incited a revolution in Big Data studies, among other things, and made much of Lewis’ own work possible.

Analytics 111

Analytics Data science Big data Risk 111

Collibra

OCTOBER 14, 2021

As a result, organizations lack an enterprise data quality foundation to respond to regulatory, analytics, and AI demands in a scalable and cost-efficient way. Making sure data is of a high quality involves rules. An intelligent data quality system can evolve rules on-the-fly. Lots and lots of rules.

Analytics 52

Analytics Government Compliance Data science 52

IBM Big Data Hub

JANUARY 10, 2023

Leveraging data to replace the ‘gut feel’ on which too many business decisions are made enables change practitioners to separate perceptions from reality and decide which processes need the most focus. The post How to unlock a scientific approach to change management with powerful data insights appeared first on Journey to AI Blog.

Mining 52

Mining Analytics Digital transformation Data science 52

erwin

JUNE 11, 2020

How Business Benefits from Data Intelligence. Traditional business models and processes can be detrimental to today’s evolving data-driven society. Businesses are then introduced to modern data science and data intelligence tools to enhance and fine-tune their products and processes. IT companies in Ukraine.

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103

IBM Big Data Hub

MARCH 2, 2022

As social impact organizations accelerate digitization, they are increasingly aware of the untapped potential lying within their data, and how AI solutions leveraging this data can amplify impact. The organizations then began incubation projects alongside the DSE team, building models and data capacity alike.

Data science 69

Data science Analytics Education Financial Services 69

IBM Big Data Hub

APRIL 25, 2019

Evolving from departmental, small-group AI projects to an enterprise data science platform can put your business on a path to significant competitive advantage. But some might not be sure how to begin. Those who don’t seize the opportunity risk falling behind the curve.

Analytics 79

Analytics Data science Risk 79

IBM Big Data Hub

DECEMBER 4, 2017

Readers of the IBM Big Data & Analytics Hub were hungry for knowledge this year. They voraciously read blog posts about incorporating machine learning, choosing the best possible data model, determining how to make the most of data science skills, working with open source frameworks and more.

Big data 78

Big data Analytics Data science 78

AIIM

OCTOBER 3, 2018

I’ve come to the following conclusions that illustrate the evolution of the data science function over the past few decades: Data science is more applied than ever. Data Science is becoming more widely recognized as both art and science.

Data science 89

Data science Analytics Education Digital transformation 89

Collibra

AUGUST 23, 2023

As the data intelligence company, we’ve long anticipated broad adoption of AI, and Collibrians with data science and machine learning expertise have been working diligently on ways to apply AI/ML. They can now use those skills in their work and share with their teams.

Communications 98

Communications Data science Marketing Artificial Intelligence 98

Bill Schmarzo - Dell EMC

MARCH 19, 2018

This is the same Amos Tversky who, along with Daniel Kahneman, was featured in Michael Lewis’s most recent book “ The Undoing Project: A Friendship That Changed Our Minds , an account of Tversky and Kahnemans’ extraordinary bond that incited a revolution in Big Data studies, among other things, and made much of Lewis’ own work possible.

Analytics 40

Analytics Data science Big data Risk 40

erwin

APRIL 15, 2020

On a business level, decisions based on bad external data may have the potential to cause business failures. In business, data is the food that feeds the body or enterprise. Better data makes the body stronger and provides a foundation for the use of analytics and data science tools to reduce errors in decision-making.

Government 134

Government Data science Metadata Analytics 134

eSecurity Planet

DECEMBER 15, 2022

Unlike most other AI research projects, ChatGPT has captivated the interest of ordinary people who do not have PhDs in data science. “Combined with other AI models this could inform a hacker or group of hackers about who may be a good potential target and how to exploit them.” The answers are often succinct.

Cybersecurity 136

Cybersecurity Phishing Data science Blockchain 136

Information Management Resources

FEBRUARY 7, 2019

Understanding your value as a data scientist and extending that ingenuity to various enterprises is the key. Advancing in this field requires a combination of technical and intrapersonal expertise.

Data science 54

Data science 54

IBM Big Data Hub

OCTOBER 3, 2022

To accomplish this, the organization collected a vast amount of patient data, learned how to best process it, and built predictive machine learning models to identify their most at-risk members. Unfortunately, at this step in the journey to AI most businesses run into trouble with their data and AI initiatives.

Risk 52

Risk Data science Insurance Cloud 52

IBM Big Data Hub

FEBRUARY 16, 2022

One observation from working on this project is that open standards for data will help bring more technology into the judicial system in a way that will benefit us all. The easier it is for data scientists to get hold of standardized data, the greater the role they can play in fighting for social justice.

Artificial Intelligence 57

Artificial Intelligence Data science Access IT 57

Collibra

APRIL 9, 2021

On that topic, I had the opportunity to speak on a webinar that brought together insurance data experts from Deloitte in the UK, and data and analytics leader Peter Jackson, who heads up group data sciences for Legal & General. Drivers for cloud adoption.

Insurance 59

Insurance Cloud Data science Analytics 59

Information Management Resources

JULY 8, 2019

Organizations need to organize data and analytics teams to reflect their big-picture goals.

Analytics 63

Analytics Data science 63

Information Management Resources

AUGUST 21, 2018

Anyone that has been online recently may have heard that some scary, biased algorithms are running wild, unchecked. Still, they are sentencing criminals, deciding who gets fired, who gets hired, who gets loans, etc.

Data science 55

Data science 55

The Last Watchdog

NOVEMBER 30, 2021

The threat intelligence platforms and detection and response systems installed far and wide, in SMBs and large enterprises alike, simply are not doing a terrific job at accounting for how APIs are facilitating multi-staged network breaches. Traditional approaches just aren’t working or can’t scale. I’ll keep watch and keep reporting.

IT 226

IT Security Big data Digital transformation 226

IBM Big Data Hub

NOVEMBER 14, 2022

Adding data visualization elements enhances the story and makes large amounts of data more digestible. When done right, data storytelling can be a powerful tool to communicate and demystify the data science.

Data science 52

Data science Communications Access IT 52

AIIM

MAY 17, 2018

This past year we worked with AIIM to develop a training course that provides fundamental teaching on how machine learning and AI actually work — the different methods used, the limitations of each approach, and some key guidance on how to steer your way through the burgeoning AI landscape.

Artificial Intelligence 91

Artificial Intelligence Access Data science IT 91

IBM Big Data Hub

MAY 9, 2022

Trust in data is created with the help of many capabilities noted earlier that deliver high-quality data that’s ready for self-service consumption by those who should have access. Trust in models relies upon MLOps-automated data science tools with built in transparency and accountability at each stage of the model lifecycle.

Metadata 57

Metadata Privacy Government Data Privacy 57

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Marketing 51

Marketing Data science e-Discovery Artificial Intelligence 51

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

Data science 75

Data science Manufacturing Artificial Intelligence Retail 75

Information Management Resources

JANUARY 26, 2018

When it comes to digital transformation, many organizations either don’t know where to start or they’re jumping off the wrong diving board.

Digital transformation 39

Digital transformation IT Data science Mining 39

Information Management Resources

MARCH 29, 2018

Hiring talented employees isn't enough; the best creative organizations also instill in their teams a drive to constantly develop technology that everyone can be proud of.

Data science 29

Data science 29

Collibra

JUNE 7, 2022

The dispassionate domain of data has become a focus of ethical questions. So if your organization is collecting, storing, and using data, then you’re probably facing ethical questions about your data. . How to do the right thing. Be good to your data. Or vice versa.

IT 52

IT Data science Privacy Analytics 52

Reltio

MAY 12, 2020

Data innovators support digital and customer experience transformations. They work on important and interesting initiatives like how to use customer data to create connected customer experiences and to drive hyper-personalization at scale. They know how their work impacts the company’s transformation and KPIs.

Customer Experience 98

Customer Experience MDM Compliance Insurance 98

IBM Big Data Hub

SEPTEMBER 7, 2022

One of the big things that we’ve noticed over the years is that data people tend to be a bit too detailed and think they can convince people with charts. At Summer School, we talk about business cases and teach participants how to present themselves in a different way.

Data science 52

Data science Customer Experience Communications Marketing 52

Archive-It

JUNE 16, 2021

Learn more about the program, our subsidized tools, your peers’ collections, and how to apply here. Check out the Internet Archive’s job board for more information about openings with Archive-It and the Web Archiving & Data Services team. We’re hiring!

Archiving 26

Archiving IT Libraries Data science 26

Information Management Resources

JULY 24, 2018

You don’t need to know Python to work at Amazon. In today’s job market, technology companies are increasingly seeking employees without technical backgrounds.

Marketing 31

Marketing Data science 31

IBM Big Data Hub

SEPTEMBER 27, 2022

Recently an American multinational financial institution came to IBM with several challenges, including deploying machine learning models in the hundreds that were built using multiple data science stacks comprised of open source and third-party tools.

Government 52

Government Compliance Data science Financial Services 52

IBM Big Data Hub

NOVEMBER 29, 2023

For instance, if a business prioritizes accuracy in generating synthetic data, the resulting output may inadvertently include too many personally identifiable attributes, thereby increasing the company’s privacy risk exposure unknowingly. How to get started with synthetic data in watsonx.ai

Privacy 85

Privacy Data Privacy Artificial Intelligence Risk 85

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Practice proper data hygiene across interfaces.

Metadata 52

Metadata Analytics Big data Unstructured data 52