Machine Learning is in the Advertising Business
The advertising industry has evolved considerably in the past century. Now diversified and modernized, the mid-century Madison Avenue advertising ecosystems are disappearing. What caused this shift? There has been at least one tool that’s been especially vital to this evolution – artificial intelligence (AI). This interesting topic came to us from Ad Age in their…
Read MoreAI in the Cloud
The popularity of artificial intelligence (AI) and the expansion of cloud computing is leaving an impression in the information management world. Using AI in the cloud can improve cloud performance and efficiency while driving digital transformation in enterprises. The Scholarly Kitchen brought this interesting information to our attention in their article, “Guest Post — Leveraging…
Read MoreData and DEI
Data contains more than numbers, demographics, and sales figures. It tells a story about your customers, your employees, and your organization as a whole. Lexology brought this important information to our attention in their article, “What does your data tell you? Role of data analysis in mapping out DE&I goals.” Every business wants to make…
Read MoreAnalytics and Metrics are Driving the Bus
Performance metrics are frequently used for employees in their annual reviews to establish mutual expectations and performance evaluations. But what about organizations? Who sets those expectations? And more importantly, how are the performances measured? A business metric is a quantifiable measure that is used to track and assess the status of a specific business process. Every…
Read MoreNew Opportunities, Not New Tech
ChatGPT has caused handwringing, worry, and speculation on how the world of publishing will be forever changed by this artificial intelligence (AI) application. Ironically, regardless of this sudden buzz, this technology is not new. The Scholarly Kitchen brought this interesting information to us in their article, “Guest Post: AI and Scholarly Publishing — A (Slightly)…
Read MoreAccessible Data
Data quality has never been more important. It is at the heart of the success of enterprise artificial intelligence (AI) and other emerging technologies. It remains the main source of challenges for companies that want to apply machine learning in their applications and operations. Venture Beat brought this interesting information to our attention in their article, “Why data…
Read MoreEmerging Tech Family
Artificial intelligence (AI) brings with it the possibility of genuine human-to-machine interaction. When machines become intelligent, they can understand requests, connect data points, and draw conclusions. They can reason, observe, and plan. It’s very common to hear the terms “machine learning” and “AI” thrown around interchangeably, but they are often used in the wrong context.…
Read MoreAI and the Financial World
Many economists haven’t embraced artificial intelligence (AI) technology because the predictive algorithms can’t answer questions about correlation and causation yet. The Economic Times brought this interesting topic to us in their article, “How machine learning is changing the game of investing.” For decades, economists have built their assumptions about prices, wages, and inflation on data…
Read MoreUnderstanding Data
Organizations committed to data driven decision making often share common concerns about privacy, data integrity, and a lack of sufficient data. Synthetic data allows companies to share data and create algorithms more easily. This interesting information came to us from MIT’s Sloan School of Management in their article, “What is synthetic data — and how…
Read MoreCyber Science and Business
Using the scientific method is a common-sense approach to cybersecurity. While most publications in the field emphasize that scientific principles are necessary, however, few guides seem helpful for cybersecurity. This interesting news came to us from ISACA in their article, “The Science of Cybersecurity and its Future Challenges.” As cyberthreats evolve and grow at an…
Read More