IBM Big Data Hub

OCTOBER 9, 2018

John Thomas, IBM distinguished engineer and director of analytics, talks with Dave Vellante in NYC ahead of the recent “Change the Game: Winning with AI event in NYC” to talk about how the IBM Data Science Elite team offers data science expertise as a service to a variety of clients to a variety of organizations, cutting across multiple industries. (..)

Data science 74

Data science Analytics 74

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

MAY 16, 2019

We are helping businesses activate data as a strategic asset, with desire to maximize the impact of AI as core to the business strategy. Companies are entering “chapter two” of their digital transformation. The next chapter is all about moving from experimentation to true transformation. It’s about gaining speed and scale.

Data science 85

Data science Digital transformation Cloud 85

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

IBM Big Data Hub

APRIL 28, 2020

In the wake of COVID-19, our banking clients are likewise looking to data science and AI to address four specific challenges: providing an extreme customer experience, mitigating operational risks, reducing operating expenses, and maximizing resource efficiencies.

Data science 82

Data science Customer Experience Retail Cloud 82

HID Global

SEPTEMBER 22, 2022

How IoT and RFID use of data science to extract insights and open new opportunities that are transforming nearly every sector and industry.

IoT 98

IoT Data science Analytics 98

IBM Big Data Hub

MARCH 30, 2020

As we learn to cope at a personal level with the dynamic development of the COVID-19 outbreak, we are seeing an increasing impact to businesses in every industry. Supply chains are broken, demands are shifting and resources are shrinking. How do you prepare your business for the economic and operational impact?

Data science 94

Data science 94

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

AIIM

OCTOBER 15, 2020

He anticipates that soon organizational success will be measured by how much value organizations are able to get from data and those organizations that remain behind the curve will be at a disadvantage. 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

Reltio

FEBRUARY 12, 2019

The summit promises the choicest real-world knowledge sharing sessions, unique panel discussions, and delightful industry networking opportunities. With over 40 sessions featuring 60 speakers, the summit has three tracks – Modern Data Management, Personalize Customer 360, and Healthcare & Life Sciences.

MDM 53

MDM Customer Experience Digital transformation Analytics 53

Reltio

SEPTEMBER 13, 2023

Facing data fragmentation and poor data quality is an all too common reality for businesses across various industries. This complicates matters for businesses striving to extract valuable insights and gain a competitive edge through analytics, machine learning, and data science. Our collective aim?

Data science 52

Data science Analytics MDM Cloud 52

Data Matters

JUNE 27, 2022

Another example of successful cross-border collaboration includes a market data screening tool called Bid Viewer, which is being co-developed with over 15 competition authorities around the world. Collaboration between regulators and industry. Building technologists into competition and consumer agencies. Looking to the future.

Marketing 158

Marketing Data science Privacy Artificial Intelligence 158

Bill Schmarzo - Dell EMC

FEBRUARY 28, 2018

Most of these 260+ variables have incomplete or sparse data, the collection timing doesn’t always line up nice and neat, and getting time continuity across the devices is a major challenge. Figure 5: Using RNN’s to Identify Shapes and Patterns Buried in the Telemetry Data. Michael holds U.S.

Data science 110

Data science Artificial Intelligence Big data Cloud 110

IBM Big Data Hub

MARCH 21, 2018

We’re inspired hearing from leaders across industries using analytics to transform their business. And we’re thrilled to take part in conversations about data science, machine learning, AI and much more. Think 2018 is in full swing. Here are some highlights from Wednesday at Think.

Data science 73

Data science Analytics 73

IBM Big Data Hub

SEPTEMBER 20, 2022

Trustworthy AI has become a requirement for the successful adoption of AI in the industry. Alongside the significant brand reputation risk, there’s also a growing set of data and AI regulations across the world and across industries — like the upcoming European Union AI Act — that companies must adhere to.

Data science 57

Data science Metadata Government Access 57

IBM Big Data Hub

MAY 9, 2023

Scaling with growing AI regulations With the increasing number of AI regulations, responsibly implementing and scaling AI is a growing challenge, especially for global entities governed by diverse requirements and highly regulated industries like financial services, healthcare and telecom.

Data science 75

Data science Artificial Intelligence Metadata Compliance 75

Collibra

OCTOBER 4, 2023

Get support from the Federal Data Mesh Accelerator Accenture Federal Services’ Data Mesh Accelerator helps federal agencies jumpstart their data mesh journey by providing an industry-tested experience that allows users to discover trusted, quality data. Marjorie Willner, Ph.D.

Government 97

Government Data science Analytics Access 97

The Last Watchdog

JUNE 4, 2019

GCIS was a Davos-level conference with no vendors and no selling, where scores of chief security information officers (CISOs), top CEO’s, industry and government thought leaders and leading innovators discussed the myriad challenges in and around cybersecurity and possible solutions in today’s environment.

Cybersecurity 144

Cybersecurity Computer and Electronics Data science Marketing 144

IBM Big Data Hub

OCTOBER 4, 2022

With the growing number of AI regulations, responsibly implementing and scaling AI is a growing challenge, especially for global entities governed by diverse requirements and highly regulated industries such as financial services, healthcare and telecom.

Government 101

Government Artificial Intelligence Metadata Data science 101

IBM Big Data Hub

NOVEMBER 30, 2022

So, it’s crucial for companies that want to add specific AI capabilities to their applications or workflows to do so without expanding their technology stack, hiring more data science talent, or investing in expensive supercomputing resources. IBM partners are making use of embeddable AI in various ways and across different industries.

Libraries 88

Libraries Data science Cloud Mining 88

AIIM

JANUARY 11, 2018

Where do you see the information management industry in 5 years? I see this industry being transformed as part of the digital transformation to manage large information sets spread across a great geographical area. Should I be doing data science? What do you see as the next big impact?

Digital transformation 80

Digital transformation Data science Access IT 80

Rippleshot

JUNE 1, 2018

Here at Rippleshot, we’ve been working for years to make our fraud platform more than just about the data science. We’re all about the people, too.

Data science 40

Data science Analytics IT 40

IBM Big Data Hub

MAY 8, 2023

Crucially, the insurance sector is a financially regulated industry where the transparency, explainability and auditability of algorithms is of key importance to the regulator. Usage risk—inaccuracy The performance of an AI system heavily depends on the data from which it learns. Above all, put in a robust AI governance program.

Insurance 71

Insurance Risk Artificial Intelligence Government 71

IBM Big Data Hub

DECEMBER 20, 2023

By giving machines the growing capacity to learn, reason and make decisions, AI is impacting nearly every industry, from manufacturing to hospitality, healthcare and academia. And since technology evolves so rapidly, the strategy should allow the organization to adapt to new technologies and shifts in the industry.

Artificial Intelligence 77

Artificial Intelligence Customer Experience Cloud Government 77

IBM Big Data Hub

NOVEMBER 3, 2023

To add to the complexity, there is a shortage of finding the right people with the right skills to take on development or data science projects. When you make it easier to work with events, other users like analysts and data engineers can start gaining real-time insights and work with datasets when it matters most.

Digital transformation 78

Digital transformation Data science Big data Analytics 78

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. She fixed this by using phrases like “generative AI hackathon” and “tech industry” in her prompts.

Communications 98

Communications Data science Marketing Artificial Intelligence 98

IBM Big Data Hub

FEBRUARY 13, 2024

Key considerations: Tech stack: Ensure your existing technology infrastructure can handle the demands of AI models and data processing. Teamwork: Assemble a team with expertise in AI, data science and your industry. Data: High-quality, relevant data is the fuel that powers generative AI success.

Artificial Intelligence 122

Artificial Intelligence Marketing Sales Communications 122

The Last Watchdog

NOVEMBER 30, 2021

Salt Security also polled more than 200 IT professionals from companies of varying size and in several different industries and found fully 94 percent of companies reported an API security incident in that same six-month period. So much so that the OWASP industry standards group maintains an API Security Top 10 List.

IT 226

IT Security Big data Digital transformation 226

Info Source

OCTOBER 6, 2020

The Alteryx APA Platform unifies analytics, data science and data-centric process automation in one self-service platform. ABBYY brings process intelligence to both data and operational processes to automate otherwise complex hand-offs. billion by 2024, and recognized ABBYY as a Leader in the category. About Alteryx.

Analytics 40

Analytics Digital transformation Mining Data science 40

John Battelle's Searchblog

MARCH 8, 2015

It’s led the way in the fight against fraud, and has one of the cleanest networks in the industry. And it’s that focus on data science that has led to sovrn’s latest crowing achievement: The launch of merdian , sovrn’s completely rethought publisher platform. So what does that mean?

Data science 85

Data science IT 85

erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. How Business Benefits from Data Intelligence. Traditional business models and processes can be detrimental to today’s evolving data-driven society.

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103

Collibra

JUNE 7, 2022

We live in a world that’s data-driven. As data professionals, we see the power of data in action. We see that its explosive growth across every industry offers many benefits in our own work and in the broader society. From the latest vaccines to the hottest social platform, data is the lifeblood of our global economy. .

IT 52

IT Data science Privacy Analytics 52

Reltio

MARCH 11, 2019

The third Modern Data Management annual summit ( #DataDriven19 ) held on February 26-27 2019 attracted more than 400 business and IT professionals getting together in San Francisco to witness the future of data management, share success stories and learn best practices. This year’s theme was “ Organize Master Data.

Digital transformation 40

Digital transformation Financial Services Data science Retail 40

IBM Big Data Hub

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029.

Marketing 51

Marketing Data science e-Discovery Artificial Intelligence 51

Collibra

NOVEMBER 23, 2022

It rates an organization’s maturity based on four core pillars: Data Literate Culture, Data Analytics, Data Management, and Data Valuation. The model leverages anonymized data from a subset of Collibra customers as inputs to calculate a maturity level for each industry.

Analytics 105

Analytics Data science Government Marketing 105

eSecurity Planet

MAY 27, 2021

Federal and state governments as well as industry players can help in both regards, according to the GAO report. These insurers will hopefully transition to more data-driven models specific to the cybersecurity industry.”. AI, told eSecurity Planet.

Insurance 127

Insurance Ransomware Risk Data science 127

IBM Big Data Hub

DECEMBER 19, 2023

Anomalies are not inherently bad, but being aware of them, and having data to put them in context, is integral to understanding and protecting your business. The challenge for IT departments working in data science is making sense of expanding and ever-changing data points.

Unstructured data 69

Unstructured data Artificial Intelligence Sales Manufacturing 69