IBM Big Data Hub

AUGUST 11, 2023

Because ML is becoming more integrated into daily business operations, data science teams are looking for faster, more efficient ways to manage ML initiatives, increase model accuracy and gain deeper insights. MLOps is the next evolution of data analysis and deep learning. How MLOps will be used within the organization.

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Data science Artificial Intelligence Compliance Paper 59

Data Breach Today

JUNE 27, 2022

Cyentia Institute Partner Wade Baker Shares Insights on Analyzing Ransomware Data Unlocking the data generated by ransomware attacks is helping organizations better understand the risks, adopt defensive technologies and prepare for future attacks, says Wade Baker, partner at Cyentia Institute.

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IBM Big Data Hub

MARCH 2, 2020

IBM Data Science and AI Elite team members Mehrnoosh Vahdat and Rachael Dottle were just one month into their IBM careers when they received their first assignment last July. . The project jettisoned them into the heart of Africa, where their banking client was looking to surface new business opportunities across the subcontinent.

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Data science 100

IBM Big Data Hub

FEBRUARY 5, 2020

How has the newer data science technology such as Watson Studio, Watson Machine Learning and Watson OpenScale been picked up by the business partner community? I mentioned in our previous blog that I was pleasantly surprised at how many IBM Business Partners have established a Data Science practice.

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IBM Big Data Hub

OCTOBER 3, 2019

Today’s data science and analytics teams are often composed of individuals with a variety of skill sets, educational backgrounds, levels of exposure to open source tools and professional needs. Here’s a typical breakdown:

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Data science Analytics Education 75

Thales Cloud Protection & Licensing

JANUARY 9, 2020

It’s the next data science gold rush! The post MicroServices: Today’s data science gold rush appeared first on Data Security Blog | Thales eSecurity. Microservices is a very high-end, enabling technology to get teams to their goal quickly. And it’s happening. You could definitely feel the buzz at KubeCon.

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Data science Cloud Security Education 105

IBM Big Data Hub

JUNE 3, 2020

The data science market is evolving rapidly. Many data scientists and developers today want to make use of the latest open source innovations during these steps. Many data scientists and developers today want to make use of the latest open source innovations during these steps.

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Data science Cloud Marketing 98

Cllax

MAY 22, 2023

The integration of data science in the field of finance has brought about a significant transformation in the way financial institutions operate. By harnessing advanced analytical techniques and machine learning The post Data Science for Finance: Benefits, Applications, Examples first appeared on Cllax - Top of IT.

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IBM Big Data Hub

SEPTEMBER 26, 2017

Learn how the IBM Integrated Analytics System, a unified data platform built on the IBM Common SQL Engine, helps do data science faster with high performance, embedded machine learning capabilities and built-in tools for data scientists to deliver analytics critical to increasing your organization’s competitiveness.

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Data science Analytics 99

IBM Big Data Hub

JULY 3, 2019

As a result, data scientists can be liberated to commit more time to designing, testing and deploying machine learning models. To learn more about what these developments mean for the data science community, I sat down with IBM’s Vice President of AI, IBM Research, to get his perspective.

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Data science Government 83

Information Matters

MARCH 4, 2021

Gartner has released the 2021 Magic Quadrant for Data Science and Machine Learning Platforms Gartner lists 6 companies in the Leaders 2021 quadrant for Data Science and Machine Learning Platforms: Read more.

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Data science 52

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 ?

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Data science Access Libraries Analytics 52

IBM Big Data Hub

SEPTEMBER 26, 2019

Recently, I sat down with Kyle Weeks, Program Director for Ecosystems in Data Science and AI. I wanted to review some exciting new opportunities made possible by several recent developments in IBM Data Science:

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Data science 75

IBM Big Data Hub

JANUARY 8, 2019

Data science was one of the hot topics of 2018, and it’s likely to dominate again in 2019. We've asked five key data science influencers to take a look back at 2018 and look ahead at what's to come in 2019.

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Data science 79

Information Management Resources

FEBRUARY 4, 2019

RapidMiner, TIBCO Software, SAS and KNIME are among the leading providers of data science and machine learning products, according to the latest Gartner Magic Quadrant report.

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Data science Artificial Intelligence 72

Information Governance Perspectives

MAY 21, 2020

via Beyond Unicorns: Educating, Classifying, and Certifying Business Data Scientists · Harvard Data Science Review Abstract There is increasing recognition that the data scientist ‘unicorn’—one who can master all the necessary skills of data science required by businesses—exists only rarely, if at all.

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Data science Education 59

IBM Big Data Hub

JUNE 25, 2018

IBM Data Science Experience was designed to kick-start and rapidly scale data science projects, fitting any deployment needs in a multicloud environment.

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Data science 67

IBM Big Data Hub

JANUARY 23, 2019

If you’re a data scientist or leading a team, Think 2019 is where you’ll want to be in February to hear success stories from clients using IBM’s data science portfolio of solutions.

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Data science 81

IBM Big Data Hub

MAY 10, 2019

Predictive modeling and analytics have long been the domain of the data scientist and only the data scientist. But with modern tools, data science is becoming a team sport—business analysts and subject matter experts can join the analysis.

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Data science Analytics 72

Cllax

NOVEMBER 27, 2020

Today, data science is not limited to the IT industry only. The result is unbelievable; The post 6 Ways How Data Science is Adding More Value to Food Industries first appeared on Cllax - Top of IT. It’s broadening its paths and able to add more and more value across all industries.

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Data science IT 59

Cllax

NOVEMBER 25, 2020

Data science: Data science is a field that used to extract knowledge and different insights from systems by using different methods. Data science is like a big tree with roots. The post Tools in Data Science first appeared on Cllax - Top of IT.

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Data science IT 29

Cllax

MAY 31, 2022

The post Importance of Data Science And Artificial Intelligence In Education Sector first appeared on Cllax - Top of IT. Well, I don’t have to say that the education sector is the most important sector in all of the other sectors. We all know that already. We all have started.

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Artificial Intelligence Data science Education IT 41

IG Guru

MAY 14, 2020

The post University of Michigan “Data Science Ethics” 4-Week Course Offered for Free via Coursera appeared first on IG GURU. This course is offered for free on Coursera.

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Data science Information governance Big data Artificial Intelligence 74

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.

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Security Data science Cybersecurity Data migration 262

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.

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Data science IT 77

Cllax

MAY 4, 2023

Data wrangling refers to the process of getting raw data and then transforming them into a standard format. This could include cleaning, consolidating, or parsing data. Data scientists use this The post What are the Differences Between Data Science and Web Development? first appeared on Cllax - Top of IT.

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Data science IT 26

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.

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Data science Insurance Financial Services Marketing 79

IBM Big Data Hub

NOVEMBER 17, 2017

Organizations everywhere, from massive governments to the smallest start-ups, are in a race for the best-possible data expertise and tools. To help your team understand the data science journey, IBM created the Data Science for All webcast.

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Data science IT Government 91

Cllax

OCTOBER 14, 2020

Data Science professionals are in very high demand these days. The post Four Steps to Break Into Data Science first appeared on Cllax - Top of IT. The main reason is that every company in the market is looking for a way to extract valuable information for.

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Data science Marketing IT 39

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.

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Data science Marketing Cloud IT 72

Information Management Resources

DECEMBER 19, 2019

An effective data science team must include people with overlapping skills, all with a deep understanding of a project’s overall vision.

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Data science 49

IBM Big Data Hub

JANUARY 7, 2019

Find out more about how the IBM Data Science Elite team helped Experian succeed at better analyzing their data at Think 2019.

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Data science Mining 80

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.

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Data science Analytics Risk IT 54

Dark Reading

JANUARY 17, 2022

Cloud tagging, the process of labeling cloud assets by certain attributes or operational values, can unlock behavioral insights to optimize and automate cyber asset management at scale.

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Data science Cloud 91

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. (..)

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Data science Analytics 75

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.

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Cybersecurity Data science Artificial Intelligence Security 257

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.

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