2030 Automation Data Quality 
IBM Journey to AI blog
JUNE 22, 2023
Manik, VP and senior partner for IBM Consulting, outlined a massive opportunity to strategically redesign the client’s finance operations and payment processing by leveraging AI, data analytics, metrics and automation. The results can be apparent quickly.
Unite.AI
NOVEMBER 27, 2024
According to McKinsey , by 2030, many companies will be approaching “ data ubiquity ,” where data is not only accessible but also embedded in every system, process, and decision point. Developing models that provide reliable, accurate insights demands rigorous attention to data quality, model training, and validation processes.
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AWS Machine Learning Blog
APRIL 3, 2025
OMRON Corporation is a leading technology provider in industrial automation, healthcare, and electronic components. In their Shaping the Future 2030 (SF2030) strategic plan, OMRON aims to address diverse social issues, drive sustainable business growth, transform business models and capabilities, and accelerate digital transformation.
Pickl AI
MARCH 7, 2025
Introduction Big Data is growing faster than ever, shaping how businesses and industries operate. In 2023, the global Big Data market was worth $327.26 annual rate until 2030. But what makes Big Data so powerful? It comes down to four key factors the 4 Vs of Big Data: Volume, Velocity, Variety, and Veracity.
NVIDIA
JULY 13, 2023
AI could contribute more than $15 trillion to the global economy by 2030, according to PwC. Advanced AI applications have the potential to help the industry better prevent fraud and transform every aspect of banking, from portfolio planning and risk management to compliance and automation. The stakes are high.
ODSC - Open Data Science
JUNE 19, 2023
It is the preferred operating system for data processing heavy operations for many reasons (more on this below). Around 70 percent of embedded systems use this OS and the RTOS market is expected to grow by 23 percent CAGR within the 2023–2030 forecast period, reaching a market value of over $2.5
NVIDIA
FEBRUARY 7, 2024
Industries can use AI to quickly analyze vast bodies of data, allowing them to derive meaningful insights, make predictions and automate processes for greater efficiency. These operations require platforms and systems that can handle large volumes of data, provide real-time data access, and ensure data quality and accuracy.
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