TDWI Upside: The Source for All Things Data & Business Analytics
TDWI Upside
Upside delivers timely, relevant, actionable information about transforming data into intelligence, insight, and impact in your enterprise.
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By Ali Akhtar
Once digital backwaters, essential industries (including manufacturing, distribution, and transportation) are suddenly at the forefront of digital transformation.
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By Upside Staff
The history and future of machine learning, the benefits of ModelOps for ML, and how ML can help create more accurate maps.
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By Upside Staff
Recent research into AI’s shortcomings, potential for general AI, and improvements to autonomous vehicles.
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By Upside Staff
Insights from Gartner into the market for data science and machine learning, how data science has been pushed by the COVID-19 pandemic, and speculation about future inventions in the field.
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By Sigal Shaked
Recent innovations produce synthetic data that is richer, more varied, and similar to real data, making it more useful than ever in providing the missing data machine-learning models need.
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By Upside Staff
Read these articles for machine learning fundamentals, challenges ML programs face, and one way more data can be made accessible for AI/ML training.
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By Upside Staff
Creating business value with data, innovative approaches to data privacy, and insights about ethical data collection.
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By Mike Waas
Examining three replatforming misconceptions and learning how to overcome them may save you from a resume-generating event.
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By Stan Pugsley
Data platform migration succeeds when you invest enough time, money, and leadership to build a critical mass, shift the gravitational pull, and block old routes.
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By Amnon Drori
Modernizing and migrating data means overcoming fear of the unknown.
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By Upside Staff
Governing data for remote employees and balancing governance with revenue growth.
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Before tackling the complexity of disparate data sources, you need to understand how semantic abstraction layers can save you from a world of pain.
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By Upside Staff
How machine learning can provide value, prevent fraud, and improve health outcomes.
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By Upside Staff
Data visualizations show global population, how people of different age groups spend time, and one statistical impact of population density.
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By Upside Staff
These articles provide guidance on democratizing data science, managing data science, and using DevOps for business impact.
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By Aleksandras Šulženko
Creating a successful machine learning model is extremely difficult and expensive. Providing the model as a service to other businesses may recoup part of the cost.
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The new service enables organizations of any size to leverage an open data architecture that eliminates the need to copy data into proprietary data warehouses.
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New construction and additions to data centers currently amounts to $17 billion, according to Accountability Information Management.
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Data teams using Monte Carlo’s Data Observability Platform can collaboratively identify, alert on, and remediate the root cause of data issues.