IBM Big Data Hub

OCTOBER 15, 2018

Starting from applying intelligent data science where it matters most and progressively using it in every aspect of the business. The business that gets there first won’t necessarily win digital and AI game. It will be the one that ingrains digital and AI in its business as much as possible.

Data science 80

Data science IT 80

CILIP

SEPTEMBER 2, 2020

New book provides an accessible and practical introduction to data science. Facet Publishing announce the publication of Practical Data Science for Information Professionals by David Stuart. David Stuart said of the text: "The growing importance of data science in the world today is impossible to miss ?

Data science 52

Data science Access Libraries Analytics 52

IBM Big Data Hub

AUGUST 31, 2017

There’s no doubt data science and machine learning are main areas of focus for enterprises to better their business. However, talking about data science and machine learning isn’t the same as making it a reality.

Data science 77

Data science IT 77

IBM Big Data Hub

JUNE 26, 2018

In this Q&A, IBM financial services solution architect Irina Saburova discusses an insurance use case with IBM Data Science Marketing Lead Rosie Pongracz.

Data science 80

Data science Insurance Financial Services Marketing 80

IBM Big Data Hub

NOVEMBER 5, 2018

Machine learning has the potential to make the lives of marketers easier, but few marketing teams currently have the in-house data science skills they need to take advantage of it.

Data science 72

Data science Marketing Cloud IT 72

The Last Watchdog

JUNE 13, 2022

Many of the startups attempting to tackle this vexing problem are offering the promise of data science and machine learning to automate the process of managing identities, although none of them even have the data collected to prove the accuracy and robustness of their proposed solutions. Leveraging data science.

Cybersecurity 239

Cybersecurity Data science Artificial Intelligence Marketing 239

IBM Big Data Hub

JULY 25, 2018

Data science and machine learning provide the basis for business growth, cost and risk reduction and even new business model creation -- but implementing predictive analytics does present some challenges.

Data science 53

Data science Analytics Risk IT 53

Collibra

OCTOBER 25, 2023

If you strive to be data-driven and are leveraging AI technologies to gain a competitive edge, increase efficiency, and drive innovation, then you need to recognize, in addition to its potentially remarkable benefits, generative AI also presents significant risks. Regulatory compliance. How do we ensure they aren’t biased or opaque?

Government 103

Government IT Data science Compliance 103

Information Management Resources

DECEMBER 2, 2019

‘Technology drives business’ is very much applicable to the case of how data science is being evaluated for adoption by many enterprises. Business and IT teams are working towards determining the value that machine learning can deliver to their various business scenarios.

Data science 48

Data science IT 48

IBM Big Data Hub

OCTOBER 4, 2018

The IBM Data Science Elite team is working with Niagara on a model that could predict the risk of film breakage for given equipment settings.

Data science 68

Data science Analytics Risk IT 68

The Last Watchdog

OCTOBER 23, 2023

And now, early adopters of security data lakes like Snowflake are saving more than two-thirds of what they were paying for their Splunk license. The Cisco acquisition shall exacerbate these challenges and speed up the adoption of security data lakes.

Data science 212

Data science Security Analytics Data migration 212

Information Management Resources

DECEMBER 12, 2019

Using Kubernetes as a common orchestration layer empowers IT to create self service environments for data scientists.

Data science 50

Data science IT Artificial Intelligence 50

The Last Watchdog

NOVEMBER 30, 2021

We spoke about how his company recently took a deep dive into six months of API data generated by its enterprise customers and found overall API traffic increased 141 percent, compared to the prior six months. Runtime security, paired with behavior analysis, is the ideal approach, which brings us back to Big Data.”. Runtime vigilance.

IT 226

IT Security Big data Digital transformation 226

Information Management Resources

MARCH 20, 2018

The importance of identifying data sources, collecting those sources, and applying them wisely is key to prevention, the reduction of threat actor dwell time, and threat mitigation.

Data science 50

Data science IT Security Artificial Intelligence 50

IBM Big Data Hub

NOVEMBER 6, 2018

The swelling demand for data scientists coupled with the evident skills gap has implications for the global economy as well as the tech industry. What’s causing it, and what can be done to address it?

Data science 75

Data science IT 75

Dark Reading

MARCH 13, 2019

You can predict the chance of a mechanical failure or security breach before it happens. Part one of a two-part series.

Data science 81

Data science IoT Security IT 81

Dark Reading

MARCH 7, 2019

You can predict the chance of a mechanical failure or security breach before it happens. Here's how.

Data science 76

Data science IoT Security IT 76

Collibra

JULY 13, 2023

In the “old AI” world, you would carefully curate a good data asset, and then train that into a model that could churn out smart, automated business decisions. In other words, the data came first. But the model would only know what it was told, and the data domain would typically be a specialized, niche area of your business.

Government 94

Government Data science Artificial Intelligence Analytics 94

Information Management Resources

NOVEMBER 6, 2019

The firm's data science team has already built three customer-facing AI tools this year, which it hopes to keep building upon.

Artificial Intelligence 50

Artificial Intelligence Data science IT 50

IBM Big Data Hub

NOVEMBER 25, 2019

James Fisher & Sons had hearty ambitions to build predictive maintenance capabilities for its customers' subsea cables -- but lacked the right data to do so.

Data science 87

Data science IT 87

The Security Ledger

APRIL 16, 2021

» Related Stories Episode 206: What Might A Federal Data Privacy Law Mean In the US? Andrew is the Chief Technology Officer at the firm QOMPLX * where he oversees the technology, engineering, data science, and delivery aspects of QOMPLX’s next-generation operational risk management and situational awareness products.

IT 52

IT Data science Data Privacy Sales 52

Information Management Resources

DECEMBER 13, 2018

This document is your first contact with a potential employer. The way it conveys your skills and personality will determine the outcome of the application process.

Data science 52

Data science IT 52

IBM Big Data Hub

NOVEMBER 29, 2023

With over 200 trains and a multitude of sensors, Downer has accumulated a vast amount of data. But Downer envisioned a partnership that would allow them to delve deeper into the data, unearthing more insights that could add value to operations. In the realm of urban transportation, precision is pivotal.

Data science 70

Data science Analytics Cloud IT 70

Collibra

JUNE 7, 2022

As data professionals, we see the power of data in action. From the latest vaccines to the hottest social platform, data is the lifeblood of our global economy. . But data itself lacks a voice. – Harvard Business School Business Insights Blog, ‘5 Principles of Data Ethics for Business’ ). Our work matters.

IT 52

IT Data science Privacy Analytics 52

Bill Schmarzo - Dell EMC

FEBRUARY 28, 2018

It’s a data scientist’s most important concept, because “might” gives the data scientist the license to explore, be wrong, learn and try again. “It It Can’t Be Done” Is Not a Data Scientist Term. Let’s say that you are capturing over 260+ different pieces of telemetry data several times a minute for the life of a device.

Data science 110

Data science Artificial Intelligence Big data Cloud 110

Schneier on Security

FEBRUARY 3, 2022

Despite public reckoning over mass surveillance, NSA famously faces the challenge of collecting such extreme quantities of data that, on top of legal and ethical problems, it can be nearly impossible to sift through all of it to find everything of value. The field of data science aims to solve them.

Big data 108

Big data Data science Mining Access 108

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 74

Data science Analytics Education Financial Services 74

AIIM

OCTOBER 15, 2020

Listen here as we explore process automation and digital transformation from a data science perspective. What can you do?

Digital transformation 116

Digital transformation Data science Marketing IT 116

Information Management Resources

JUNE 12, 2018

Skilled developers, data science and security talent remain in high demand, putting increased pressure on organizations to offer the benefits, culture and work opportunities that will keep them on board.

Data science 39

Data science IT Security 39

Information Management Resources

SEPTEMBER 19, 2018

The perils of bias and consumer mistrust lurk in plain sight. And there’s the dirty secret of how easy it is to slip into creating useless products no customers will use.

Data science 37

Data science IT Analytics 37

Reltio

SEPTEMBER 13, 2023

As organizations embrace an ever-growing list of applications and transition to the cloud, critical data—like information about customers and products—becomes increasingly disorganized and negatively impacts quality. Our collective aim?

Data science 52

Data science Analytics MDM Cloud 52

Information Management Resources

MAY 1, 2019

The effort is part of a company-wide initiative to teach employees skills to incorporate models and data science into everyday workflow.

Data science 31

Data science IT 31

Collibra

FEBRUARY 16, 2022

But data governance is much more than a nasty librarian with rules that thwart you at every turn. Modern data governance is freedom. Data governance in detail. Data governance is the best way to help your organization become data centric. Data governance is an organizational discipline. No, no, no.

Government 52

Government IT Compliance Privacy 52

Collibra

OCTOBER 4, 2023

To help federal agencies maximize innovation efforts, Collibra and Accenture Federal Services recently hosted ‘Enabling a Federal Data Mesh ,’ a webinar to demonstrate the data mesh experience and illustrate how it can accelerate data discovery and speed time-to-value for federal agencies. The federal government is no exception.

Government 97

Government Data science Analytics Access 97

Archive-It

JUNE 16, 2021

Meet the international research teams who will explore web archive collections data with new and developing analysis tools on the Archives Unleashed Project’s blog. You are invited to the quarterly open call with Archive-It and Internet Archive Web & Data Services. by the Archive-It team. Welcome Archives Unleashed Cohorts.

Archiving 26

Archiving IT Libraries Data science 26

Security Affairs

FEBRUARY 8, 2019

“The NITEC innovation challenge,” said Mike Street, Head of innovation and data science at the NCI Agency, “is a great way for a wide range of companies and organizations to share their innovative products and services with the NCI Agency.

Data science 76

Data science Communications IT Security 76

Dark Reading

JUNE 12, 2019

Advances in data science are making it possible to shift vulnerability management from a reactive to a proactive discipline.

Data science 71

Data science IT 71