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Testing New AI Applications is Crucial Before Bringing them to Market

Smart Data Collective

You might want to try something like Fireart – Digital Product Agency , which is great for testing AI applications during the initial development cycle. Modern methods of software development take a more systematic approach to testing, in accordance with the IBM Rational Unified Process (RUP).

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Interesting statistics around big data, data analysis, and usage

Analysts Corner

Data Analysis (Image created using photo and elements in Canva) Evolution of data and big data Until the advent of computers, limited facts were collected and documented, given the cost and scarcity of resources and effort to capture, store, and maintain them. MB of data each second. Source: IDC).

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Leveraging AI and Workflow Automation in Manufacturing

Argon Digital

By integrating AI and automation into various processes, manufacturers can unlock a myriad of benefits, leading to increased efficiency, reduced costs, and enhanced overall productivity. Inventory Management : AI-powered demand forecasting can help manufacturers maintain optimal inventory levels, reducing storage costs and avoiding stockouts.

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150+ Top Global Cloud Thought Leaders and Next Generation Leaders of 2021

Whizlabs

It is loud and clear that Cloud Computing is fundamental to the new wave of digital transformation. Rick is a well experienced CTO who can offer cloud computing strategies and services to reduce IT operational costs and thus improve the efficiency. He guest blogs at Oracle, IBM, HP, SAP, SAGE, Huawei, Commvault, Equinix, Cloudtech.

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The Data Journey: From Raw Data to Insights

Sisense

Doing this will require rethinking how you handle data, learn from it, and how data fits in your digital transformation. Simplifying digital transformation. The growing amount and increasingly varied sources of data that every organization generates make digital transformation a daunting prospect. But it doesn’t need to be.

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The Role of Artificial Intelligence in Business Process Automation: A Comprehensive Analysis

CMW Lab Blog

Predictive Analytics Business Impact: Area Traditional Analysis AI Prediction Benefit Forecast Accuracy 70% 92% +22% Risk Assessment Days Minutes 99% faster Cost Prediction ±20% ±5% 75% more accurate Source: McKinsey Global Institute Implementation Strategies 1.

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Should You Have Separate Document, Time-Series, NoSQL and SQL Databases or Can a Single Database Support All of These Data Types and Requirements?

Actian

Primarily, Relational DataBase Management Systems (RDBMS) managed the needs of these systems and eventually evolved into data warehouses, storing and administering Online Analytical Processing (OLAP) for historical data analysis from various companies, such as Teradata, IBM, SAP, and Oracle.