Everything-as-a-service (XaaS) has revolutionized business models to secure robust services that help them scale. Digital transformation demands enterprises to be agile to adapt to the […]
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Quick Wins in Enterprise Digital Transformation (yet often ignored) – Intelligent Automation
The modern workplace is seeing widespread usage of machines and automation. Enterprise digital transformation, Artificial intelligence (AI), and automation are changing the tide for businesses […]
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AI Implementation Checklist – 5 Points to Evaluate Before Adopting AI in Your Organization
Artificial intelligence is now all around us in household gadgets as well as business workflows. AI adoption is rampant across sectors; the global artificial intelligence […]
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Efficient Skype Communication in the Age of COVID-19
Globally distributed teams use Skype as a primary communication platform – to conduct scrum meetings, 1-on-1 or group conversations, for screen sharing, and video conferences. […]
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Stay Immune From IT Outages with Disaster Recovery As a Service
Your data is the fuel of your business – it’s irreplaceable and you cannot afford to lose it. Whatever the cause – IT outages, natural […]
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Not just the Vendor, Choose the Right Development Team for Your Product!
Presale discussions with prospective customers can be very interesting! Initial discussions would focus on one of their products to be built or supported. But, when […]
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Internet of Medical Things – The Trigger for Healthcare Transformation
Introduction Pedometers, smart blood sugar meters, wireless EKGs, symptom trackers for patients with asthma, connected inhalers for COPD, ingestible sensors—the Internet of Things (IoT) has […]
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Two Compelling Reasons for Application Modernization
Modernizing existing applications is about embracing change and it is not human to want to re-engineer something that is already working! However, the world today […]
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Can DataOps Help Data Scientists to Deliver Increased Business Value?
In the digitally transformed world, as businesses continue to grow, the pressure on data scientists to deliver workable models, in accelerated time is immense. In […]
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