AI Articles and Analysis about Data auditing

Data auditing is the process of conducting a data audit to assess how company's data is fit for given purpose.

AI Communications Surveillance-1x min

AI for Communications Surveillance and Compliance – Two Use Cases

Communications surveillance in financial services involves both monitoring and analyzing electronic communications within a financial institution to prevent fraud, ensure regulatory compliance, identify and manage risks resulting from inappropriate activity, and maintain integrity in financial markets. 

Machine Learning and Large Language Models in Healthcare – with Dr. Arta Bakshandeh of Alignment Health@1x

Machine Learning and Large Language Models in Healthcare – with Dr. Arta Bakshandeh of Alignment Health

AI and machine learning have promising potential in the field of healthcare. However, there is one significant hurdle healthcare companies often encounter when trying to implement AI and machine learning. The data architecture of current legacy systems in healthcare settings prevents implementing many use cases and limits a company’s ability to benefit from these technologies fully.

The Essentials of Wireless Technology Infrastructure for Automotive Manufacturers – with Don McGuire of Qualcomm@2x-min

The Essentials of Wireless Technology Infrastructure for Automotive Manufacturers – with Don McGuire of Qualcomm

Due to technological advancements, automakers are uniquely positioned to benefit from an industry-wide transformation. Technology now allows a direct connection between car manufacturers and the customers who purchase those cars. Such a relationship has never before been possible in the history of the automotive industry.

Introducing GenAI Tools in the Enterprise – with Bhaskar Kalita of Quantiphi@2x

Introducing GenAI Tools in the Enterprise – with Bhaskar Kalita of Quantiphi

The introduction of GenAI tools in the enterprise signifies a significant shift in how businesses operate in the current technological landscape. These tools enhance various aspects of daily operations, from data analysis to decision-making processes. 

Future of Drug Targeting – Lilly @2x-1-min

The Future of Drug Targeting and Clinical Development with Generative AI Tools – with Ramesh Durvasula of Eli Lilly

Lily is a pharmaceutical giant with a legacy dating back to its founding in 1876 by Colonel Eli Lilly. The company engages more than 9600 employees in research and development, with clinical research conducted in more than 55 countries. As of 2022, the company clocked a revenue of $28,541.4 million and made a net income of $6,244.8 million. 

Beyond GPUs_ The Future of AI Computing with Perspectives from Intel, GE Research, Groq and Rain@2x

Beyond GPUs: The Future of AI Computing with Perspectives from Intel, GE Research, Groq and Rain

Edge AI, also known as edge intelligence, is a term that refers to the convergence of two dynamic technological trends: edge computing and Artificial Intelligence. In today's tech landscape, the proliferation of mobile devices and advancements in communication technologies have fueled the rise of edge computing, which focuses on processing data at the network edge. 

Solving Logistics Challenges with AI – with Dr. Yossi Sheffi of MIT@2x-min (1)

Solving Logistics Challenges with AI – with Dr. Yossi Sheffi of MIT

AI is driving change across many industries, including logistics and manufacturing. Companies need to strike the right balance between automation and human intervention. This interaction represents a specific area of study known as human-automation interaction. 

AI at Morgan Stanley@2x-min

Artificial Intelligence at Morgan Stanley – Three Use Cases

Morgan Stanley was founded in 1935 and is headquartered in New York City. They are an American multinational investment bank and financial services company recognized as a leader in wealth management. With over $1.19 billion in assets, Morgan Stanley is among the top 15 biggest banks in the world.

Data auditing

Data auditing is the process of conducting a data audit to assess how company's data is fit for given purpose.