Sign up for our newsletter and get the latest big data news and analysis.

How to Build the Right Team for a Successful AI Project

In this special guest feature, Simran Bagga, Program Director – AI and Machine Learning at Concord Technologies, take a holistic look at ways to complete a successful AI project through building the right team. The roles on the AI team should be determined by the company’s business processes around defining and creating solutions to problems.

The Value of Data Now vs. Data Later

In this contributed article, Fluency CEO and Founder Chris Jordan discusses the inevitable extinction of Moore’s law. 90% of the world’s data has been produced over the last two years, yet companies only analyze 12% of it. With Big Data only continuing to grow, how can more innovative data storage solutions, such as the cloud, effectively respond to this level of growth?

Be More Da Vinci: Why Data Scientists Should Be Working with Designers, Futurists and Business Executives

In this special guest feature, Michael Kanazawa, EY Global Innovation Realized Leader and EY Americas Advisory Growth Strategy Leader, discusses why data scientists and engineers should be working with designers, futurists, and business executives as the way to lead the future. Failing to do so risks being consigned to the past.

Big Data and Medical Research

In this contributed article, Magnolia Potter believes that the use of big data in medical research and advancement is of paramount importance. Artificial intelligence and machine learning are pioneering the ethical collection of medical data, the discovery of new drug therapies, and improved outcomes for patients. By analyzing public health concerns in real-time, big data can advance medical research in multiple fields, improve patient care, and prevent the spread of deadly diseases.

Mastering the Internet of Things with Master Data Management

In this contributed article, editorial consultant Jelani Harper discusses how many organizations have struggled to harness the IoT’s scale, size, and speedy datasets for a cogent business use case justifying investing in this expression of big data. If the principal challenge is making sense of this continually generated streaming data in real-time, the solution is unequivocally as straightforward as it is effective: Master Data Management.

Big Memory Unleashes Big (Real Time) Data

In this special guest feature, Charles Fan, CEO of MemVerge, believes that in the years ahead, the data universe will continue to expand, and the new normal will be real-time analytics and AI/ML integrated into mainstream business apps … but only if in-memory computing infrastructure can keep pace. Therefore the bottom line is that Big Memory Computing–where memory is abundant, persistent, and highly-available–will succeed to unleash Big (real-time) Data.

How AI Can Save Jobs in the COVID-19 Economy

In this special guest feature, Arijit Sengupta Founder & CEO of Aible, believes that the key to saving jobs in the COVID economy requires the right tool for the job, in this case, a new type of AI that blends augmented analytics and human domain knowledge. What business leaders need is an analytical tool to help them consider many possibilities quickly, execute a strategy while preserving options and react to change based on timely feedback.

Meeting the Demand: Containerizing Master Data Management in the Cloud

In this contributed article, editorial consultant Jelani Harper suggests that perhaps no other single entity has done more to spur cloud adoption rates than Salesforce has. By democratizing Customer Resource Management (CRM) with this architecture, the ubiquitous CRM vendor considerably popularized the movement of shifting data, applications, and attendant tools like Master Data Management (MDM) offsite.

Customers Want Experiences, Not Chatbots

In this special guest feature, Richard Smullen, CEO of Pypestream, discusses how moving forward, conversational experiences, not automated text transactions, need to be the priority for brands. Companies using CI and other automation will provide the seamless experiences customers expect and create true engagement using AI.

Using AI to Optimize Pricing

In this contributed article, Sylvain Rougemaille PhD, Price Optimizer Product Manager, and Gabriel Smith, Chief Evangelist and Vice President of Innovation, at Pricefx, discuss how AI as applied to pricing must be transparent, defensible and pragmatic with proven ways to help sales win more business and increase deal size. It is also not a “one size fits all” problem, so the models must reflect the insight of the management team in order to be most effective.