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Book Review: Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning

We’re seeing a rising number of new books on the mathematics of data science, machine learning, AI and deep learning, which I view as a very positive trend because of the importance for data scientists to understand the theoretical foundations for these technologies. In the coming months, I plan to review a number of these […]

Without Uncovering Dark Data, You’re Not Uncovering Business Opportunities

In this special guest feature, Odhrán McConnel, Chief Technology Officer at Trint, points out that according to recent estimates, approximately 90 percent of a company’s data is dark, meaning it hasn’t been analyzed or leveraged to the benefit of the business. If you’re a business that uses any type of technology (which, in the year 2020, is likely almost everyone), you’re sitting on mounds of unstructured – and highly valuable – data.

Infographic: 3 Data Science Methods for SEO

At a time when data science is becoming more and more present in the habits of marketers and companies, our friends over at OnCrawl shows how data science can be a real game changer for SEO. The infographic below presents 3 ways to use data science to take your SEO strategy to the next level.

Addressing AI Trust, Systemic Bias & Transparency as Business Priorities

Our friend Dr Stuart Battersby, CTO of Chatterbox Labs (an Enterprise Al Company), reached out to us to share how his company built a patented AI Model Insights Platform (AIMI) to address the lack of explainability & trust, systemic bias and vulnerabilities within any AI model or system.

causaLens Launches Causal AI Platform

causaLens, a deep-tech company predicting and optimising the global economy, has released a new causal Artificial Intelligence (causal AI) enterprise platform. Businesses no longer have to rely on curve-fitting machine learning platforms unable to handle the complexity of today’s world. They are invited to join the real AI revolution with a platform that understands cause and effect.

Surviving the Big Data Underworld: Establishing and Safeguarding Data Sovereignty

In this contributed article, editorial consultant Jelani Harper discusses how prudently coupling data backups with timely restoration options, organizations can preserve data sovereignty for unassailable business continuity during times in which it’s needed most.

The Future Outlook of Serverless

In this special guest feature, Emrah Samdan, Vice President of Products for Thundra, takes a look at the future outlook of serverless technology. The future of serverless and the production readiness of serverless for many use cases will continue to improve and the potential to cover many others is arriving. The industry expects serverless to be the default computing platform by 2025.

Combining High and Low-Code to Deliver Impactful Predictive Analytics

In this white paper, we will explore how GlobalTranz leveraged its inherent technology skills along with technology partnerships including Microsoft and West Monroe, a national business and technology consulting firm, to effectively insert a user interface (UI) facilitating human oversight of machine generated predictive pricing through a creative and resource- efficient use of both high and low-code approaches.

Time to Stop Treating Data Like a Four-Letter Word

In this contributed article, our friends over at TruFactor discuss how responsible data begins at the development of any application or platform. Four straight forward principles should guide the use of any data – from the initial problem statement, ensuring consumer consent, using privacy-aware data, and commitment to transparency.

Analyze-then-Store: The Journey to Continuous Intelligence – Part 5

This multi-part article series by our friends at Swim is intended for data architects and anyone else interested in learning how to design modern real-time data analytics solutions. It explores key principles and implications of event streaming and streaming analytics, and concludes that the biggest opportunity to derive meaningful value from data – and gain continuous intelligence about the state of things – lies in the ability to analyze, learn and predict from real-time events in concert with contextual, static and dynamic data. This article series places continuous intelligence in an architectural context, with reference to established technologies and use cases in place today.