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.
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.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
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.
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.
Speaker: Jason Tanner
While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.
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?
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.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
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.
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.
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
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.
Advertisement
Stuck with stalled AI projects? Data silos and fragmented processes are likely culprits. This IDC report unveils Data Products as the secret weapon. By treating data as a product, organizations can overcome these challenges and unlock the true potential of AI. Learn how a unified data control plane empowers Data Products to deliver trusted, high-quality data for faster insights and improved decision-making.
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.
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.
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
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?
Advertisement
In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face.
Expert insights. Personalized for you.
101 
Let's personalize your content