Most businesses have digitally transformed their workflows and are exploring innovative ways to ensure they have robust digital end-to-end supply chains to improve their efficiency. Irrespective of the strategies embraced, modern supply chain management heavily depends on effective demand planning strategies. One of the top priorities of every organization should be developing a supply chain with utmost efficiency to minimize errors. Business leaders that want to manage demand and supply efficiently need to have the best strategies and tools for demand planning and forecasting. Leveraging the best demand planning and forecasting tools in the IT infrastructure will help businesses to minimize the risks and enhance the product, services, and information flow and deliver a top-notch customer experience.

Artificial intelligence has become invaluable to many different industries all over the world. A 2019 study by Gartner found that 37% of businesses use AI technology in some way. That number has almost risen over the last couple of years. One of the biggest reasons AI technology is becoming more valuable is that it helps companies automate many essential processes. AI has helped automate many processes that previously took days, weeks, or even months to complete. Automation is playing an ever-increasing role in the functioning of our society, and perhaps the area that is affected the most by this phenomenon is business management.

Senior Analyst, Matt Kimball, covers Oracle's new MySQL Heatwave which enables organizations to run OLTP and analytics from a single database, eliminating extract, transform, load (ETL) functions or the need to maintain multiple databases.

Over the past few decades or so, there have been several news articles about how AI technology has revolutionized the infrastructure of modern businesses. Not just modern businesses, AI has completely transformed our personal and professional lives. Every day, more and more service-based and product-based companies are deploying artificial intelligence-powered devices for resource management, revenue management, boosting customer engagement, and enhancing customer loyalty. Experts believe that the biggest reason why AI applications are coming to fruition is due to their exponential contributions in computing power and the generation of data. And with the recent developments in advanced technologies like deep learning, computer vision, and IoT, critical tasks like object detection have also become easier than it was ever imagined before.

The business world has become highly technologically focused. Across all industries, magical ideas continue to foster businesses. Because these improvements are made possible by the same investments, we must conclude that technology is required to expand and sustain all businesses. Companies will eventually need to incorporate technology as the technology develops since technology has improved various aspects. So, let's take a quick look at a few of them: Thanks to technology, the sorts of data relays between sections or departments inside the company are streamlined.

Not too long ago, artificial intelligence was just a thing of science fiction, and its application in real life was merely a fantasy for most people. However, thanks to all the technological advancements of the 21st century, today, artificial intelligence is a reality, and it has more practical implications than movies used to suggest. AI is defined as computer software that analyzes its environment and uses machine learning in order to practice autonomous decision making. While the software is practicing these human-like activities, the necessity for actual human intervention is reduced; thereby, processes are executed much faster. So, we are not talking about sentient robots and the like; instead, what AI means for businesses today is the potential to make their work more efficient.

Artificial intelligence is penetrating every aspect of modern business, and for a number of compelling reasons. As technology has become an inextricable part of our everyday lives, business leaders and forward-looking marketers are quick to pioneer the integration of innovative AI-driven technologies as the likes of chatbots, for example, in order to develop a competitive advantage and speed up the growth of their brands as a whole. Needless to say, AI helps them achieve this in a myriad of ways. Download our free e-book to learn everything you need to know about chatbots for your business. From enhanced customer service to easier SEO optimization, all the way to smart brand building and laser-precise advertising, artificial intelligence can make all the difference in how modern brands operate and plan their future.

Cognitive computing means giving computers the ability to work out complex problems for themselves. Just like humans, cognitive computers benefit greatly from experience, learning better ways to solve problems with each encounter. When a traditional system of rules finds a task impossible, cognitive computing sees only an opportunity to expand its knowledge. The necessity for cognitive computing in the Internet of Things (IoT) arises from the importance of data in modern business. In the smart IoT venues of the future, everyone from startups to enterprises to homeowners will use data to make decisions using facts rather than instincts.

To keep up with the competition, businesses must bring themselves up to date with modern technologies. Some however, are taking it a step further and using a number of technologies in tandem with others, to establish a stronger force. One example of this is the holy tech trinity – formed of the Internet of Things (IoT), Artificial Intelligence (AI) and Big Data – and it is quickly becoming the combination surpassing all others. Over the last decade, together they have made significant impact across a countless number of industries, empowering the exponential boom of insight, innovation and evolution framing modern business. Yet, it is startling to note that many businesses are only skimming the surface when it comes to understanding what this tech trinity can offer.

If you work in tech or are even thinking about it, you've probably come across the term "machine learning". Google Trends shows that the popularity of the search term "Machine Learning" has grown by about 400% in the last three years. Clearly, there is a high demand for people with knowledge of machine learning–but what exactly is it? In this post, I'll describe what exactly is meant by the term "machine learning", and explain why it seems to have such importance to modern businesses. There is a famous definition by the computer scientist Tom M Mitchell which has often been used and which I will adapt here.