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Top 5 digital transformation trends of 2021

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The year 2020 will go down as the period when organizations responded to new risks, pivoted to new business models and accelerated their digital transformation programs in an effort to weather a lethal pandemic. In the 2020 COVID-19 epoch, going digital was no longer a business luxury but a matter of survival. Digital transformation was crucial to enabling remote working, transitioning to collaboration workflows, and to realigning operations from supply chain management through customer experiences. CIO and IT leaders no longer have to sell the business on how critical technology is to all aspects of operations. In 2020, the question was how fast could IT partner with business leaders to deliver collaboration, workflow and analytics capabilities in the cloud.


How low-code platforms enable machine learning

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Low-code platforms improve the speed and quality of developing applications, integrations, and data visualizations. Instead of building forms and workflows in code, low-code platforms provide drag-and-drop interfaces to design screens, workflows, and data visualizations used in web and mobile applications. Low-code integration tools support data integrations, data prep, API orchestrations, and connections to common SaaS platforms. If you're designing dashboards and reports, there are many low-code options to connect to data sources and create data visualizations. If you can do it in code, there's probably a low-code or no-code technology that can help accelerate the development process and simplify ongoing maintenance.


Cloud Machine Learning: Is It Right for You? - Datamation

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Cloud machine learning platforms, sometimes referred to as machine learning as a service (MLaaS) solutions, can help make artificial intelligence (AI) affordable. But experts say enterprises and small businesses considering these services should also consider the potential challenges of these services before rushing in.


Top AI Software

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Clearly, today's best artificial intelligence software is driving change: hardly a day goes by without artificial intelligence (AI) software introducing new and improved capabilities. As features appear and use cases expand, organizations turn to AI applications to gain competitive advantage. AI software capabilities typically fall into several core areas: machine learning (ML), deep learning, predictive analytics, machine vision, robotic process automation (RPA), smart assistants and chatbots. With the current focus on digital transformation, systems are changing everything from business forecasting and supply chain automation to marketing/sales and customer support. They're ushering in smarter business and IT frameworks that can act and react to events in more agile and flexible ways.


Amazon AWS Leaps Forward In Cloudy AI At re:Invent

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Amazon Web Services hosted its annual conference last week. Over 50,000 attendees converged on Las Vegas to partake in the massive 4-day agenda of all things cloudy. In the realm of Artificial Intelligence (AI), AWS announced over a dozen completely new services for building and running smart applications, adding significantly to what was already a rich portfolio. "We want to help all of our customers embrace machine learning, no matter their size, budget, experience, or skill level," said Swami Sivasubramanian, Vice President of Amazon Machine Learning. AWS hopes to extend its lead in hosting the market for enterprises and AI startups.