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How Data Analytics can Help you Bolster Your Career Performance?

Smart Data Collective

What is data analytics? One of the most buzzing terminologies of this decade has got to be “data analytics.” Companies generate unlimited data every day, and there is no end to the data collected over time. Companies need all of this data in a structured manner to improve their decision—making capabilities.

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Digital listening reveals 3 leading innovation drivers

CIO Business Intelligence

The industries these decision-makers represented include insurance, banking, healthcare and life sciences, government, entertainment, and energy in the U.S. Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data.

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Conversational AI use cases for enterprises

IBM Big Data Hub

The technology’s ability to adapt and learn from interactions further refines customer support metrics, including response time, accuracy of information provided, customer satisfaction and problem-resolution efficiency. Marketing and sales: Conversational AI has become an invaluable tool for data collection.

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FRTB: Will 2023 Finally be the Year?

Cloudera

Continuous monitoring will be required, and banks will need to conduct back-testing to ensure accuracy. From a data management point of view, FRTB’s requirements will require greatly increased quantities of historical data, along with an increased need for analysis and intensive computation against this data. .

Risk 55
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CIO 100 Award winners prove the transformative value of IT

CIO Business Intelligence

In partnership with OpenAI and Microsoft, CarMax worked to develop, test, and iterate GPT-3 natural language models aimed at achieving those results. The CarMax team also gathered, scrubbed and formatted data from thousands of vehicles to feed into the models, fine-tuning them as the project advanced.

IT 89
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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. After forming the X and y variables, we split the data into training and test sets. X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,

Modeling 139
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What Is Data Intelligence?

Alation

Data intelligence first emerged to support search & discovery, largely in service of analyst productivity. For years, analysts in enterprises had struggled to find the data they needed to build reports. This problem was only exacerbated by explosive growth in data collection and volume. Data lineage features.