Experienced Digital Marketing Executive with a history of working in the information technology and services industry. Digitization has changed many industries' entire landscape, and the manufacturing sector is not an exception. Advanced technologies are taking this industry to greater heights. As per the latest marketing reports, the global manufacturing industry's revenue was USD 116.14 billion in 2021. These numbers will grow to USD 337.10 billion in 2028 at a CAGR of 16.4%.

Artificial Intelligence is most commonly applied in manufacturing to further develop overall equipment efficiency (OEE) and first-pass yield in production. Over time, we can utilize AI to expand uptime, work on quality and consistency, which is considered better determining. To remain cutthroat, its significant producers adjust to an additional information-driven plan of action, which is possible today with the help of AI innovations. This regularly incorporates rearrangement of staff, equipment and programming updates. Artificial Intelligence can ingest a mix of information from sensors, machines, and individuals and afterward apply it to calculations intended to upgrade tasks or accomplish lights out assembling.

It's been quite a year for the B2B manufacturing business. While the ongoing pandemic caused uncertainty in some markets, it also drove many more B2B buyers online. Our recent survey found that 97 percent of B2B manufacturing businesses are feeling increasing pressure to get their products to market faster compared to just a year ago. On top of that, 87 percent of manufacturers indicated that they're facing more competition now than they did last year. Manufacturers rushing to adopt e-commerce delivery have been challenged by technological limitations and the complexities of gathering and maintaining product information for all of the new channels and marketplaces they're entering.

A new product has been launched today which brings machine learning into the energy management arena. Reduct is the new game-changing platform developed by Verco. Many users of Monitoring & Targeting (M&T) platforms will know about the benefits but also the challenges that exist in extracting value from their system. The market is now flooded with a broad range of M&T systems, with varying degrees of flexibility on data collection, analysis tools and reporting outputs. However all such systems are constrained by the time available for skilled people to review the data and identify areas for improvement.

Internet of Things (IoT), 3D printing, self-driving automobiles, nanotechnology, SMAC (Social, Mobile, Analytics and Cloud) and a lot more …businesses especially the manufacturing organisations are experiencing a downpour of disruptive tech trends in the business intelligence landscape. However, when it comes for manufacturing businesses to adopt these tech trends, there is a dire need for having a lucid understanding of the various tech trends in line with current gen's business ecosystem. IoT and Big data undoubtedly are enthralling tech concepts. The question is what do they have in store for manufacturing organisations? As digitisation takes the manufacturing arena by a storm, there seems to be an amazing potential to boost agility, responsiveness and embrace the quickly changing customers' demands. Here's how the trio of ERP, Big Data and IoT can deliver actionable intelligence: With Great Power Comes Great Stress!

The proven impact of machine learning models has pushed more investment toward their development. Still there are plenty more gains to be realized. From the first harnessing of economies of scale to the introduction of the assembly line, the search for new efficiencies has always been at the heart of manufacturing. Today, the greatest new gains come from the innovative combination of hardware and software. In particular, robotics has revolutionized manufacturing, allowing for greater output from fewer workers.

There's no doubt that the digital transformation of manufacturing is changing the face of the industry, and many companies are feeling pressure to evolve into a "factory of the future." It's an exciting time that promises significant efficiency and productivity gains, yet the prospect of transitioning to digital records, tools and processes is daunting for many manufacturing businesses. That's why the best place to start might be surprising: paper. To improve your records management process, begin with your paper records. It might seem counterintuitive to start a digital transformation by getting a better handle on paper records, but the approach makes good business sense.

Wherever your manufacturing business is on its journey to providing product as a service, you've no doubt realized that you need an intelligent supply chain to make it happen. The great news is you can take advantage of technology such as cloud computing, AI, IoT, and more to help you accomplish those three imperatives. We've partnered with intelligent supply chain experts who can help you do so. Connect teams on a collaborative planning platform that provides real-time visibility into your manufacturing business' current and future states. Go to our o9 Integrated Business Planning solution page to learn more and start your trial.

Since the start of the First Industrial Revolution, manufacturing has been the force pushing industrial and societal transformation forward. Today, we're in the midst of the Fourth Industrial Revolution, as a new generation of sophisticated technologies is transforming manufacturing into a highly connected, intelligent, and ultimately, more productive industry. The manpowered shop floor of the past is being replaced by smart manufacturing facilities where tech-savvy workers, aided by intelligent robots, are creating the products and services of the future. As we approach 2019, we're looking ahead to the trends that will define intelligent manufacturing, as well as help empower clients to better evaluate and manage operations, build innovative products and services, and grow their manufacturing businesses. These trends are detailed in our new 2019 Manufacturing Trends Report.

Getting down to basics, the core of any learning is intelligence. Humans learn and use means of communication and depend on visual stimulation for cognitive intelligence enhancement; even for everyday tasks such as working on a computer or enjoying a movie. Much the same way, machines can be taught to perform tasks with the help of algorithms that put things in perspective for them. This, in simple words is Artificial Intelligence or AI. Now AI has found numerous applications already and is capable of complex tasks. Its main advantage as a system is its adaptability to any kind of context – quite similar to a human being's ability.