Posts Tagged ‘Data analytics’
Putting the Data to Work
With the proliferation of consumer data comes the opportunity for better understanding and targeting of prospects and customers. If businesses want to take advantage of this data, they must think strategically. This interesting information came to us from Eye on Annapolis in their article, “Data Analytics in Machine Learning.” A data strategy is a long-term…
Read MoreAnalytics and Big Data
The rise of big data has transformed the way organizations make decisions. With the exponential growth of data, companies have been able to collect and analyze more information in real-time to gain insights about customer behavior, market trends, and operational efficiency. This has led to a shift from traditional decision-making processes to data-driven decision-making, where…
Read MoreBlockchain and AI
The key advantage of artificial intelligence (AI) is its ability to simulate human reasoning and react quickly to large volumes of many different inputs. This is also its drawback, however, since the complexity of the AI decision-making process is often not transparent. Complex machine learning models in AI, such as deep neural networks, are often black boxes.…
Read MoreAnalytics and History
When it comes to data analytics, most organizations have historically focused primarily on descriptive and diagnostic capabilities. Descriptive analytics explains what is happening in an IT system and uses analysis levers including trending, mining patterns, and detecting changes and anomalies. This interesting news came to us from BetaNews in their article, “Advances in predictive analytics expand…
Read MoreAnalytics in AI
Generative artificial intelligence (AI) is beginning to materially affect what organizations can do with their data. Tech Target brought this interesting information to us in their article, “Generative AI hype evolving into reality in data, analytics.” Generative models can generate synthetic data that resembles real data, helping to augment a dataset and increase its size.…
Read MoreHealthcare and Data
Big data analytics in healthcare is evolving into a promising field. Very large data sets provide insights and improve outcomes while reducing costs. Analytics Insight brought this interesting information to us in their article, “How BI and Data Analytics Are Changing the Healthcare Sector?“ Data analytics has had a big impact in healthcare, saving time…
Read MoreCybersecurity Concerns
Cybersecurity is the discipline of deploying software tools and technologies to safeguard computing systems against cyberattacks, both external and internal. Data analytics can augment cybersecurity and can even predict data breaches and advanced, evolving cyber threats. CompTIA brought this interesting information to us in their article, “Cybersecurity and Data Analytics: Double Dipping on Two Hot Trends“ Interconnected data services…
Read MoreThe Importance of Data Quality
It has never been more important to make data-driven decisions. Leaders should develop strategies based on data analytics. Beyond decision-making, accurate and relevant data analytics can provide greater insights into target markets, reveal hidden operational efficiencies, and identify new potential product and service offerings. CIO brought this interesting topic to our attention in their article,…
Read MoreEmerging Tech and Cybersecurity
Cybersecurity is the discipline of deploying software tools and technologies to safeguard computing systems against cyberattacks, both external and internal. Data analytics can augment cybersecurity and predict data breaches through the application of methods and technology against advanced, evolving cyber threats. CompTIA brought this interesting information to us in their article, “Cybersecurity and Data Analytics: Double Dipping on Two…
Read MoreData-Driven Purpose
Data analytics has the power to transform how organizations operate, manage human and financial resources, and ultimately create value. Information Week brought this interesting information to our attention in their article, “4 Ways to Make Data Analytics More Efficient.” CEOs and other top executives understandably tend to avoid getting in the weeds. The complexity of…
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