With the recent Intergovernmental Panel on Climate Change (IPPC) report painting a worrying picture of our battle against climate change, we will explore five ways analytics can help turn the tide. The UN Secretary-General, Antonio Guterres, called the report “a code red for humanity,” adding that “the alarm bells are deafening and evidence irrefutable.” U.S. President Joe […]
A Brief History of Neural Networks
In the last few decades, neural networks have evolved from an academic curiosity into a vast “deep learning” industry. Deep learning uses neural networks, a data structure design loosely inspired by the layout of biological neurons. These neural networks are constructed in layers, and the inputs from one layer are connected to the outputs of […]
Knowledge Graphs for Robust Data Governance
More data, more sources, more conflicts. More self-service reporting, more cross-functional analytics, more government and industry regulations. Without a way to govern all the data in their possession, businesses are not going to do well at creating reports or dashboards or building data consensus across departments. Nor will they feel confident that they’re not missing […]
The Hybrid Approach to Responsible AI
Click to learn more about author Luca Scagliarini. Artificial intelligence (AI) is on an upward growth trend and there is no sign it will level off any time soon. Recent research by Fortune Business Insights suggests the market will jump nearly tenfold from $27.23 billion in 2019 to $266.92 billion by 2027. This represents a staggering […]
Artificial Intelligence, Machine Learning, and Data Protection
Artificial intelligence and machine learning techniques are altering the way organizations gather, process, and protect data. They are being used to gather massive amounts of information about internet users in the form of big data, and to secure and protect it. The challenge is how to maximize the use of big data, while simultaneously safeguarding […]
Transparent Machine Learning: Key Steps and Tips for Getting Started
Click to learn more about author Deepak Dube. While machine learning is an involved science with complex models, what distinguishes transparent machine learning is that it explains itself – how it works, its predictions, its insights – so that the user understands and trusts the outcome. In this article, I explain what transparent machine learning […]
What Is Artificial Intelligence (AI)?
According to the SAS Institute: “Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing. Using these technologies, computers can […]
Enterprise Analytics Trends
Evan Terry, Chief Analytics Officer at Velocity Mortgage Capital said that enterprise analytics technology is increasingly sophisticated, due to machine learning, artificial intelligence (AI), and streaming analytics, but you can’t benefit from these advancements without a solid foundation. “There’s a real interplay there between the foundational and the advanced.” Terry discussed these interplays during his […]
AI Mindset: Adopting the Right Framework for AI Implementation
Click to learn more about author Andriy Latysh. Businesses today are facing a key turning point in AI adoption and, as such, are perfectly positioned to reach new heights with AI, by gleaning actionable insights, improving operational efficiency, deciphering customer behaviors, and reducing costs. That said, just because an organization is willing to adopt AI […]
What Is a Knowledge Graph?
A knowledge graph, which can be considered a type of ontology, depicts “knowledge in terms of entities and their relationships,” according to GitHub. An example of a knowledge graph is shown below. Knowledge graphs developed from the need to do something with or act upon information based on context. For example, knowledge graphs help identify […]