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Business Transformation through AI-driven Design Thinking

MagmaLabs

Design thinking for business transformation Design thinking is all about empathy, creativity, and rationality. It focuses on understanding and addressing user needs, which helps businesses create better products, services, and processes. This is where AI comes into play as a digital transformation tool.

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IT Automation – 6 Technologies for Business Transformation

Kaseya

With IT automation a top priority for today’s organizations, IT teams are now applying automation to a wider range of business and IT functions. In this blog, we’ll take a look at the various automation technologies IT teams are implementing to optimize their business processes. Predictive Analytics.

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An Insider’s View of Data-Driven Business Transformation in the Nordics

TIBCO - Connected Intelligence

We are a Nordic IT service company enabling our client’s data-driven business transformation. With our deep expertise across hybrid platforms, information management and applications, we bring together relevant data for more intelligent operations that drive long-term business value. Hallå Björn. It seems data is a key enabler.

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10 Factors Impacting Your Data and Analytics ROI

TIBCO - Connected Intelligence

Data and analytics investments pay off. According to McKinsey, “High-performing organizations are three times more likely than others to say their data and analytics initiatives have contributed at least 20 percent to EBIT.” Twenty percent of earnings before interest and taxes from data and analytics alone! Embrace agile.

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20 for 2020: Looking Back on a Year of Blogging

TIBCO - Connected Intelligence

Blogging was one of my most positive 2020 pursuits. Every Blog Provides a Great Opportunity and a Unique Challenge. And now as the year closes, I wanted to recount the big themes, best ideas, and key takeaways from my best 20 blogs from 2020. Show Me the Money, Getting the Business to Invest in Data Management.

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AI at Scale isn’t Magic, it’s Data – Hybrid Data

Cloudera

Data science needs analytics. In the article, Bret Greenstein, data, analytics and AI partner at PwC identifies that, “No matter how organizations move toward scaling AI in the coming year, it’s important to understand the significant differences between using AI as a ‘proof of concept’ and scaling those efforts.”

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The 7 Stages Of Big Data Analytics That Every CIO Needs To Know About

The Accidental Successful CIO

They think that if they implement the right project, what will fall out of the other side is a set of analytical results that will be tailored for their business. You need to understand how you are going to apply analytics to that data in order to extract the information that your business is going to need you to get for them.