Data Science Virtual Expert Panel Presented by AWS

Perficient Data & Analytics

AWS will feature one of our experts to speak on a panel about the evolution and progress being made to solve critical business problems such as customer personalization and forecasting through the use of data science. Leveraging Innovations in Data Science.

Women on the rise in Data Science

IBM Big Data Hub

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. .

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MicroServices: Today’s data science gold rush

Thales eSecurity

1 For more on microservices check out two of my earlier blogs, “ Securing Microservices ,” and “ Seven Microservices Identity Questions to Secure your Data. ”. It’s the next data science gold rush! Data security

Best practices for building a data science dream team

Information Management Resources

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

Data science: Breaking down the silos

IBM Big Data Hub

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.

How Kubernetes marries IT and data science roles

Information Management Resources

Using Kubernetes as a common orchestration layer empowers IT to create self service environments for data scientists. Artificial intelligence Machine learning Data management Data science

Top trends to expect in cloud computing, data science and AI

Information Management Resources

Artificial intelligence Data science Cloud computingLast year could be referred to as the year of the cloud. In 2020, however, cloud deployments will become more popular as organizations look to reap the benefits of hybrid-cloud models.

6 Steps for Applying Data Science to Security

Dark Reading

Two experts share their data science know-how in a tutorial focusing on internal DNS query analysis

4 operating models to consider when setting up a data science team

Information Management Resources

‘Technology drives business’ is very much applicable to the case of how data science is being evaluated for adoption by many enterprises. Data modeling Data management Data science

What is the impact of data science automation?

IBM Big Data Hub

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.

Data science transformations: Learn from these clients at Think 2019

IBM Big Data Hub

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

When faster data science moves the world

IBM Big Data Hub

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.

Field of Data Science in 2018

Perficient Data & Analytics

It is no secret that a data science and analytics specialty was one of the hottest and fastest growing careers in 2017, leading to resource shortages (as denoted by the picture below). Solution for a large healthcare company to better read and understand their claims and health data.

Transforming business with data science partners, open source and IBM innovation

IBM Big Data Hub

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

17 top data science and machine learning platforms

Information Management Resources

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. Data science Machine learning Artificial intelligence

Learn to deliver fast ROI with data science

IBM Big Data Hub

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

Experts answer your top data science and machine learning questions

IBM Big Data Hub

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

16 top platforms for data science and machine learning

Information Management Resources

Machine learning Data science Data managementAlteryx, KNIME and SAS are among the top vendors in this space, according to a new Magic Quadrant report from Gartner.

Keep the train rolling: partner momentum in the data science market

IBM Big Data Hub

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? The new data science technology has been very well received by our partner community.

What 15 top data science and analytics jobs are earning

Information Management Resources

According to the compensation website payscale.com, as of April 29, 2018, nearly half of top data science, data analytics and machine learning jobs were earning under $100,000 nationally. Data Scientist Data Analyst Data science

Data Science: Influencers review 2018 and share their 2019 predictions

IBM Big Data Hub

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

Virtual data science can rise to the challenge in unprecedented times

IBM Big Data Hub

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.

Deliver a customer experience fit for royalty with data science and AI

IBM Big Data Hub

Learn what you can deliver with data science and AI Delivering a great customer experience is more important than ever.

IoT Anomaly Detection 101: Data Science to Predict the Unexpected

Dark Reading

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

How the Data Science Elite helped uncover a gold mine at Experian

IBM Big Data Hub

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

Mining 104

5 cool vendors in data science and machine learning

Information Management Resources

Data science Machine learning Data ScientistDimensionalMechanics, Immuta and Octopai are among the leading vendors in the machine learning space, according to a new report from Gartner.

Will data science, machine learning and AI ‘save’ IT security?

Information Management Resources

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 security Artificial intelligence Machine learning Data science Cyber security

3 challenges facing insurers in data science implementation

Information Management Resources

Data mastery is a priority for carriers across business lines, but there are still roadblocks. Data science Data Scientist Chief Data Officer Data warehouses

What is the Future for Data Science Platforms?

Perficient Data & Analytics

What will the future holds for Data Science and Machine Learning platforms? Most of you already saw the Gartner’s perspective on the evolution of Data Science that was released at the beginning of 2018 and familiar with the outcome. I will be honest with you, I was a little surprised myself, and probably you were too, with the results for the leaders in Data Science and Machine Learning field; I expected to see Microsoft, Google, or IBM.

Prudential reorients marketing around AI, data science

Information Management Resources

Digital leader is elevated to whole-company chief customer officer role after successful rollouts. Prudential Artificial intelligence

The Benefits of Using Cloud-Based Platforms for Data Science

Perficient Data & Analytics

As everything in this world matures and goes through the steps of evolution, Data Science is not much different. Even though it became more affordable for the companies to jump on the Data Science bandwagon and generate quick wins, Volume, Velocity, and Variety are still the bottleneck for most of the Artificial Intelligence (AI) projects. This makes it challenging for a data scientist to take full advantage of your organization’s data.

Steps for developing top skills in new data science hires

Information Management Resources

In order to evaluate, nurture and ultimately grow this talent, experts in all areas of the business need to provide guidance and critical feedback that will help data scientists along their journey. Data science Data Scientist Chief Data Officer

Ten expert tips for visual data science

IBM Big Data Hub

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. IT Central Station members have shared tips that help organizations overcome the challenges in effective data preparation, model development and training

Data Science for All: What is it? Why care? How do I get it?

IBM Big Data Hub

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

16 top data science platform providers

Information Management Resources

Data science Data Scientist Data managementIBM, SAS, KNIME and Rapid Miner are among the firms that offer the leading products, according to Gartner research.

IoT Anomaly Detection 101: Data Science to Predict the Unexpected

Dark Reading

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

Win with AI: John Thomas of IBM on putting skin in the data science game

IBM Big Data Hub

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.

What good are notebooks? Bridging the data science skills gap with collaboration

IBM Big Data Hub

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.

Data Science conference looks at four top reasons big data projects fail

Information Management Resources

Data professionals gathered at the Data Science New York conference this week to learn what trends will most impact investments in data analytics and data management in 2019. Data science Data management Big data

IBM’s Data Science and AI Elite helps Geisinger break new ground in sepsis care

IBM Big Data Hub

Learn how Geisinger Health System tapped the IBM Data Science and AI Elite team to reduce mortality from sepsis