O'Reilly on Data

AUGUST 24, 2018

Carol Willing shows how Jupyter's challenges can be addressed by embracing complexity and trusting others. Continue reading Sustaining wonder: Jupyter and the knowledge commons.

101

101

IBM Big Data Hub

AUGUST 21, 2018

On September 13, Rob Thomas together with ESPN anchor Hannah Storm, will lead a discussion around the transformative potential of AI, the importance of a multi-cloud architecture — and how companies representing a range of industries – from manufacturing to health care — are winning with AI. Attend in person in NYC and enjoy intimate networking and learning sessions – or alternatively catch the Livestream from your home or office.

Manufacturing 78

Manufacturing 78

Birst BI

AUGUST 23, 2018

How many times have you wished for more hours in the day so you can complete more tasks? A key goal of AI or machine learning automation is to have machines complete tasks for you, freeing up time so you can focus on the more complex, higher-value tasks. However, there are simply not enough data scientists in the world to deliver on the AI potential.

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Peter James Thomas

AUGUST 18, 2018

No this article has not escaped from my Maths & Science section , it is actually about data matters. But first of all, channeling Jennifer Aniston [1] , “here comes the Science bit – concentrate” Shared Shapes. The Theory of Common Descent holds that any two organisms, extant or extinct, will have a common ancestor if you roll the clock back far enough.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

Management

O'Reilly on Data

AUGUST 24, 2018

Julia Meinwald outlines effective ways to support the unseen labor maintaining a healthy open source ecosystem. Continue reading Why contribute to open source?

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IBM Big Data Hub

AUGUST 21, 2018

The forces of nature can be unpredictable. Businesses & organizations can pull substantial value our of weather data through advanced analytics, machine learning & AI.

Analytics 48

Analytics Machine Learning 48

Peter James Thomas

AUGUST 22, 2018

The interviews that I conduct with leaders in their fields as part of my “In-depth” series have hopefully brought a new and interesting aspect to this site. However, often the boot is on the other foot and I am the person being interviewed about my experience and expertise in the data field and related matters [1]. Maybe interviewing other people helps me when I am in turn interviewed, maybe it’s the other way round.

Data-driven 42

Data-driven Data Processing Publishing Enterprise 42

O'Reilly on Data

AUGUST 24, 2018

Mark Hansen explains how computation has forever changed the practice of journalism. Continue reading The reporter’s notebook.

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111

Hurwitz & Associates

AUGUST 23, 2018

By Jean S. Bozman. IBM is targeting multicloud storage as a growth area for its IBM Storage systems and IBM software-defined storage products. On Aug. 14, 2018, the company expanded multicloud support across its portfolio of software-defined infrastructure (SDI) solutions. The announcements build on earlier IBM Storage announcements for products, features and solutions for simplified backup and recovery, object storage through IBM Cloud Object Storage, and support for scalable clusters in cloud

Data Processing 40

Data Processing Software Machine Learning Enterprise 40

Nutanix

AUGUST 21, 2018

The heartbeat of a company is its people. With greater diversity, comes greater opportunity too, as was famously said by Malcolm Forbes, the American entrepreneur, “think independently together,” and attack business challenges from a variety of valuable perspectives.

IT 20

IT 20

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Analytics

Peter James Thomas

AUGUST 22, 2018

© Randall Munroe of xkcd.com – Image adjusted to fit dimensions of this page. Work by the inimitable Randall Munroe, author of long-running web-comic, xkcd.com , has been featured (with permission) multiple times on these pages [1]. The above image got me thinking that I had not penned a data visualisation article since the series starting with Hurricanes and Data Visualisation: Part I – Rainbow’s Gravity nearly a year ago.

Sales 73

Sales Statistics IT Publishing 73

O'Reilly on Data

AUGUST 24, 2018

Luciano Resende explores some of the open source initiatives IBM is leading in the Jupyter ecosystem. Continue reading Jupyter in the enterprise.

Enterprise 101

Enterprise 101

Jedox

AUGUST 20, 2018

Whether you work for a government agency, a high-tech company or a service provider, your organization must plan its annual budget. While many members of your organization might be familiar with planning or budgeting software, the set of activities to create, control and update the budget is known as the budget process. Digitalization is tactical – automating activities, for example, while Digital Transformation is strategic – focusing on improving overall business processes and increasing busin

Digital Transformation 43

Digital Transformation Business Driver Cost-Benefit Sales 43

O'Reilly on Data

AUGUST 24, 2018

Watch keynotes covering Jupyter's role in business, data science, higher education, open source, journalism, and other domains, from JupyterCon in New York 2018. People from across the Jupyter community are coming together in New York for JupyterCon. Below you'll find links to keynotes from the event. All the cool kids are doing it, maybe we should too?

Machine Learning 108

Machine Learning Data Science Data-driven Enterprise 108

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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