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

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

Quick Tips on How to Sell Your Data Science Model

Perficient Data & Analytics

During a five-week IBM training program, I learned a few things about how to sell data science models that I’d like to share it with you. Drew Conway’s Data Science Venn Diagram. The combination of these skills are what makes a good data scientist.

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

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.

15 top paying cities for data science jobs

Information Management Resources

Data scientists wanting to earn a top paycheck should head to San Francisco. Data science Compensation Data ScientistFreemont and San Jose, CA, hold a close second and third spot for highest pay. Here's a look at the 15 highest paying job markets.

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

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

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

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

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.

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.

When faster data science moves the world

IBM Big Data Hub

15 top data science and BI pay trends

Information Management Resources

Data science Business intelligence Data Scientist Artificial intelligenceNew salary information reveals that analytics and business intelligence jobs aren't getting quite the stellar salaries some had predicted.

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

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

AI Success: Data science vs. data governance

Information Management Resources

Machine learning Data scienceAI and machine learning are revolutionizing the way we engage with customers, streamline operations, and mitigate business risk.

7 essential tips for writing a winning data science specialist resume

Information Management Resources

Career advancement Data Scientist Career moves Data scienceThis 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.

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

5 best practices to scale data science across the enterprise

Information Management Resources

A lack of data and technical capabilities is not the key reason new analytics initiatives underperform; it’s because most organizations approach them as an artisanal craft. Data science Data Scientist Data management

These skills and experiences will best boost a data science career

Information Management Resources

Members of the Society for Information Management offer their advice on the top qualities and knowledge that data scientists should have to advance in the field. Data Scientist Data science Chief Data Officer

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.

Northwestern Mutual looks to build data science pipeline

Information Management Resources

Data science Sensor data Chief Data Officer Data Scientist Data warehouses Northwestern MutualThe company has invested $40 million and partnered with local universities to encourage homegrown analytics talent.

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

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

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.

Meet our Technical Experts: Brittany Bogle from the Data Science and AI Elite Team

IBM Big Data Hub

Her path to data science elite status is what makes her a valuable and unique practitioner for IBM clients Learn more about Brittany Bogle in our new series profiling the technical experts helping clients reach their AI and machine learning goals.

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.

MassMutual boosts U of Vermont data science with $5 million program

Information Management Resources

The initiative, which will kick off in 2019, continues the life insurer's strategy of engaging the academic community to build a data talent pipeline. Data science Data visualization Chief Data Officer Data Scientist Analytics MassMutual

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

Industrializing your AI and data science models with IBM Cloud Private for Data

IBM Big Data Hub

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.

When Morpheus met Watson: JPMC teams with IBM Data Science and AI Elite

IBM Big Data Hub

Learn how the IBM Data Science and AI Elite Team helped JPMorgan Chase with AI initiatives

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

IBM Big Data Hub

NIH strategic plan seeks to keep pace with changes in data science

Information Management Resources

Agency will hire a chief data strategist to guide the development and implementation of the roadmap. Data science Analytics Interoperability Data sharing Big data Data and information management

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

Revelwood helps marketers hit the bullseye with cloud-based data science

IBM Big Data Hub

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

Get an IBM data science professional certificate on Coursera

IBM Big Data Hub

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

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

How Data Science Experience improves accuracy for the insurance industry

IBM Big Data Hub

In this Q&A, IBM financial services solution architect Irina Saburova discusses an insurance use case with IBM Data Science Marketing Lead Rosie Pongracz. In this scenario common to the insurance industry, an organization needs to adjust its operations based on upcoming weather event and multiple weather indicators can improve forecast accuracy

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