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.

5 cool vendors in data science and machine learning

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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.

What 15 top data science and analytics jobs are earning

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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

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

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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

7 essential tips for writing a winning data science specialist resume

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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.

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

16 top platforms for data science and machine learning

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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.

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

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

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

15 top data science and BI pay trends

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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.

AI Success: Data science vs. data governance

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

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

5 best practices to scale data science across the enterprise

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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

When faster data science moves the world

IBM Big Data Hub

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

Northwestern Mutual looks to build data science pipeline

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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.

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

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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

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.

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.

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

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

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

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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

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

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

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

Win with AI: Niagara Bottling taps IBM Data Science Elite Team

IBM Big Data Hub

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

Why data science at banks is missing the mark, and how to fix it

IBM Big Data Hub

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.

Design, data science, and the algorithms that run our lives

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Analytics Predictive analytics Data managementThe 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.

Apple brings on team from consultant Silicon Valley Data Science

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The California-based startup provides data analysis to larger companies to improve their forecasts, operational efficiency and customer relationships. Analytics Data management Apple

The 11 highest paid technology jobs for 2019

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Compensation CIO Data scienceArtificial intelligence, machine learning and Internet of Things skills join the ranks of the top paid jobs in technology.

Data scientists are enjoying the best of times in their careers

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Today, data science is being more widely applied than ever, and data science is recognized as both an art and a science. This is a dramatic – and exciting – change from how data science was viewed when I started my career. Data science Data Scientist Chief Data Officer

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The top 10 blogs that were reader favorites for 2018

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Data science skills, blockchain, master data management and the General Data Protection Regulation were topics that most captured reader attention in 2018. GDPR MDM Data science Data privacy Data modeling Business intelligence Blockchain Machine learning

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The top skills needed by data scientists in 2019

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The real challenge finding data scientists is not in finding the individual contributors, but instead in finding their managers. Data Scientist Data science Career advancement Career planning

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The evolution of the CIO: From systems watchdog to data visionary

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CIO Career advancement Data science Data Scientist Chief Data OfficerThe chief information officer of today must be a change agent and a driver of business performance and digital strategy within the company as a whole.

10 top technology trends that will impact organizations in 2019

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Machine learning, data-centricity, self-service BI and distributed ledger technology will be among the top technology trends driving innovation and digital transformation this year. Artificial intelligence Machine learning Business intelligence Data science Cloud computing

Stress advancement opportunities and work-life balance to lure top data talent

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Recruiting Data science Data Scientist Data securityIf organizations are to be successful in luring these professionals in 2019, they had better focus first on advancement opportunities and work-life balance.

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