For as long as people have been conducting business, they have been using technology to enhance their efforts. In the late 18th century, industrial technology launched a revolutionary era of accelerated business growth. And in the late 20th century, the digital revolution transformed the business world again, leveraging AI and big data to boost efficiency […]
Large Language Models in the Enterprise: It’s Time to Find a Middle Ground
ChatGPT, the conversational chatbot released by OpenAI in November, garnered 100 million users in just two months, making it the fastest-growing consumer app in Internet history. But the technology that underpins ChatGPT is relevant and appealing to businesses as well. As you may already know, GPT stands for generative pre-trained transformer, which is the technology underlying the […]
3 Reasons Manufacturers Must Get Data Governance Right in 2023
In the manufacturing space, digital transformation has made data the oil in many machines – and much like oil, it needs refinement and enrichment. This can be carried out via Data Governance. Good Data Governance translates to smarter, quicker, data-driven decisions, as well as more efficient resource management, reduced security risks, greater trust from customers […]
Data Bias in AI – Can We Beat Evolution Using Technology?
Is there data bias in your business? Recent research indicates that 65% of business and IT executives believe there is currently data bias in their organization, 13% of businesses are currently addressing data bias, and 78% believe data bias will become a bigger concern as AI/ML use increases. What this indicates is that businesses and organizations simultaneously worry […]
Leveraging AI and Automation to Streamline Clinical Trial Data Management
Clinical trials are critical in developing and approving new medical treatments and technologies. These trials generate massive data that needs to be managed efficiently and accurately to ensure patient safety and successful research outcomes. The good news is that advances in AI and automation technology, such as AI-based data extraction, virtual clinical trials, and predictive analytics, […]
AI and Privacy: Navigating the Intersection of Technology and Personal Data
The rapid adoption of generative AI in the business world is transforming the way we work and improving our ability to engage with customers, streamline internal processes, and drive cost savings while introducing unprecedented challenges to the protection of individual privacy. As AI technologies continue to evolve and permeate various aspects of our lives, concerns about data […]
Why Embedded Innovation Is Key to Digital Transformation
“Digital transformation” is the hottest phrase of 2023, encapsulating everything from supply chain disruptions to the AI gold rush. It’s the challenge companies are undertaking to make sure they keep pace with today’s rapidly evolving technology and interconnected digital world. For business leaders, the biggest focus is on making sure their internal processes are intertwined […]
Mitigate Real Risks: Create Ethical, Responsible AI
AI is everywhere, and it is growing. In a 2022 edition of an annual global AI survey, a leading consulting firm found that adoption among enterprises had more than doubled in five years, with about 50% of respondents using it in at least one business unit or function. Thirty-two percent of enterprises reported cost savings […]
Overcoming Eight Data Literacy Barriers
Leaders want “everyone, everywhere, and all at once to become highly data-literate, demonstrate a high capability to read, work with, and analyze data,” says Dr. Wendy Lynch, founder of Analytic-Translastor.com and Lynch Consulting. As a consultant to numerous Fortune 100 companies, she understands why organizations want all their members to have a high level of Data Literacy. […]
What Is a Feature Store in Machine Learning?
A feature store is a centralized platform for managing and serving the features used in machine learning (ML) models. A feature is an individual measurable property or characteristic of data that is used as input to an ML model. In order to build effective ML models, it is critical to have high-quality, well-engineered features that […]