Managing Data Driven Strategy
A data-driven company requires a clear data integration strategy and a solid data culture. Tech Republic brought this interesting information to our attention in their article, “How to create a data integration strategy for your organization.” Big data and analytics have climbed to the top of the corporate agenda. Together, they promise to transform the…
Read MoreDeep Technology
Regardless of how much data artificial intelligence (AI) has made available, there will always be hidden problems in real-world deployments. Unfortunately, socially situated learning remains an open challenge for AI, because AIs must first learn how to interact with people to seek out the information that they lack. This interesting information came from The Proceedings…
Read MoreGoverning AI
Artificial intelligence (AI) governance is the idea that there should be a legal framework for ensuring that machine learning technologies are well researched and developed with the goal of helping humanity navigate the adoption of AI systems fairly. This interesting information came to us from Fortune in their article, “Investors are pouring billions into artificial intelligence. It’s time for a…
Read MoreData Driven Success with Knowledge Graphs
Knowledge graphs help organizations make the greater part of their enterprise data more easy to find, understand, and use, so that analysts, data scientists, and other data consumers can use data and analytics better and more frequently to drive their businesses. This interesting topic came to us from Medium in their article, “Knowledge graph adoption— sales pitch…
Read MoreAnalytics and Metadata
A data-driven company requires a clear data integration strategy and a solid data culture. Tech Republic brought this interesting information to our attention in their article, “How to create a data integration strategy for your organization.” Big data and analytics have climbed to the top of the corporate agenda. Together, they promise to transform the…
Read MoreInternet of Things Today
The Internet of Things (IoT) has become a common term as a topic of conversation in industry articles, online tech groups, and your backyard BBQ. The IoT has impacted how we work, but also how we live. Intermingled in the complexities around IoT are some useful and important conversations – given you understand what they are…
Read MoreLearning from the Data
When it comes to machine learning algorithms, your predictions are only as good as your data. And if you aren’t using the right data, you aren’t setting your models up for success. This interesting topic came to us from KD Nuggets in their article, “The Difference Between Training and Testing Data in Machine Learning.” When…
Read MoreArtificial Intelligence and Data Analytics
Artificial intelligence (AI) analytics refers to a subset of business intelligence (BI) in which software exhibits behaviors typically attributed to humans, such as learning and reasoning, in the process of data analysis. This interesting information came to us from inside BIG DATA in their article, “How AI-Unified Data Analytics Is Good for Your Business.” AI and…
Read MoreUnderstanding the Difference
Data science, data analytics, and machine learning are terms that are often used interchangeably when talking about making sense of big data. But this is wrong. Data science is a field that studies data and how to extract meaning from it, whereas machine learning is a field devoted to understanding and building methods that utilize data to improve…
Read MoreDriving Success with Data
A data-driven approach enables companies to examine and organize their data with the goal of better serving their customers and consumers. By using data to drive its actions, an organization can contextualize and/or personalize its messaging to its prospects and customers for a more customer-centric approach. Tech Republic brought this interesting information to us in their article,…
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