The Business Analysis Benefits and Limitation Of AI and Synthetic Data
Enterprises increasingly deploy machine learning models to analyze corporate data that informs vital business issues.
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2022
DSC Weekly 15 Nov 2022 – The Dynamics of Ranked Voting
A Ranked Choice Voting system takes a different approach. In a Ranked Choice, candidates from any party (or no party) can stand for election. Voters rank their preferences, and the top three candidates then go onto a second election, where the top vote receiver wins the election. A referendum passed in this latest election cycle makes Nevada a Ranked Choice state, joining Alaska and Maine. Significantly, these states all have had a history of independent candidates.
The 5 Reasons to Use Data Observability to Reduce Confluent Cloud Kafka Costs
Kafka started as open-source software installed on a server. Complex and highly-configurable, early Kafka adopters learned first-hand how difficult, time-consuming and expensive managing Kafka clusters could be. Those staying with on-premises Kafka are adopting solutions such as data observability platforms to empower them with automated visibility and control over their environments.
AI and Data Literacy: A National Mandate
I recently participated in a regional workshop of government, education, business, and social leaders where we were trying to ascertain and assess 1) the certainty of national trends and 2) the impact of those trends on the region.
Metaverse 2.0: What could the long-term vision for the metaverse look like?
With the layoffs at Meta this week, it’s time to review metaverse strategies. Meta was increasingly bullish about the timelines, as were many analysts. But where do we stand now?
HR Technology Trends for 2023 and Beyond
There have been lots of buzz in companies around HR technology trends and the future of human resources. Covid has propelled digital transformation four years into the future, and the entire relationship between employer and employee has changed. Through this technology drives communication and collaboration. It allows us to share ideas and access extensive information effortlessly at once.
Introduction to Data Visualization in Python
Having tabular data can make it challenging to comprehend your data when working with it genuinely. Visualizing data or representing it in a pictorial form will enable us to understand better what the information means and how to clean and use it. Tables and CSV files can’t reveal patterns, correlations, or trends, but graphs can.
Media and Entertainment Sector: Applications of Artificial Intelligence
There’s a change foot in the media and entertainment industry, and we have artificial intelligence (AI) to thank for it. The global industry is utilizing the power of AI to make visual content more interactive and exciting. It helps to serve the audience to personalize content reach while enhancing the viewing experience that is more interesting and entertaining.
Want Greater Business Efficiency? Map Your Smart Data Transformation Journey
Companies need to collect huge volumes of data produced to extract valuable insights via data analysis to survive, let alone thrive in the competitive marketplace. It is the lifeblood of most business decisions, functions, and processes. But the process of data collection can be highly challenging for many organizations.
How to Explore Historical Data Patterns with Machine Learning
The possibility to render historical data into comprehensive patterns has added soundness to many areas, and when we consider trading, it has left a giant… Read More »How to Explore Historical Data Patterns with Machine Learning