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Tag: Smart Data Blogs

5 Traps to Avoid in AI Transformation

Running out of budget. Economic calamity. Global pandemic. The risks to our AI initiatives are, literally, all around us. Some of them we cannot...

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Getting to AI Adoption at Scale

Everyone wants to increase the adoption of their AI programs, but there are several “chicken and egg” problems to overcome: How do we get...

SERP-Driven, Dynamic Sentiment Impact Analysis

Sentiment analysis is not entirely new. Businesses have been attempting to generate insights from various pieces of content for some time now. With automated...

An Introduction to Reinforcement Learning

In this blog post, I’d like to introduce some basic concepts of reinforcement learning, some important terminology, and a simple use case where I...

The Rise of Data-Centric AI

Data-centric AI is gaining momentum among engineers. While traditionally, a model-centric approach has been used to improve accuracy for a variety of applications, the...

How to Make the Jump to AI

AI and machine learning models are being used to help companies stay competitive by discovering new revenue opportunities, improving risk management, detecting fraud, and...

Get Context-Driven Natural Language Processing for Better Search Results

If your business is focused on data-driven, fact-based decisions, your business users may be leveraging an analytics solution to gather, find, and analyze data....

The Role of AI in the Transformation of the Insurance Industry

The insurance industry has been traditionally conservative with technology advances and hesitant to adopt new technologies. However, times are changing, and artificial intelligence (AI)...

How AI Is Driving Data Speeds in Data Centers

Developments in artificial intelligence (AI) technologies have opened up major opportunities and improvements for data processing and analytics. Unfazed and even spurred by the COVID-19 pandemic,...

Real-Time Data in Machine Learning: Challenges and Solutions

In today’s dynamic global marketplace, events outside of our control are constantly making the data we’ve collected erroneous and outdated. There are instances in...

Data Preparation and Raw Data in Machine Learning: Why They Matter

In our current digital age, data is being produced at an unprecedented rate. With the increasing reliance on technology in our personal and professional...

Five Types of Advanced Analytics Challenges

Many data scientists and analytics consultants complain they were hired to be a part of advanced analytics teams at corporations, but all they do...

Innovations in Deep Analytics Are Critical to the Future of Supply Chains

Digital transformation accelerated very quickly during the global pandemic, leading to 10 years of innovation in just three months. The abrupt changes came mere weeks after...

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