If there's one thing that remains constant in the IT realm, it's that things change at a rapid pace. IT automation tools and technologies that were considered cutting edge just a few years ago are already becoming antiquated. As a result, more and more organizations are trying to stay ahead of the curve and maintain their competitive edge by adopting newer, more robust and futuristic technology. As we usher in a new year, now is a great time to assess your current situation and consider making a change. To help with this, here are five tell-tale warning signs that your current IT automation tool isn't going to support your future needs.
Marketing automation is one of those terms that could have a variety of meanings, but the most obvious one is not really what it means. The tool that is called a marketing automation platform is not strictly about automating your marketing. These systems allow marketers to automate many marketing tasks that would be mind-numbing and repetitive, even for interns, like sending emails and tracking the results, but there's a whole lot more going on here than just sending email. Let's look at some stats from a recent study from Ascend2: The sum total of those stats tells quite a story. According to this survey, about three-quarters of marketers say that this particular tool is important to their marketing performance, yet only about a third of them make extensive use of it.
SALESmanago is a cloud based online marketing automation platform used by over 6000 companies all over the world that manage databases of over 300 mln customers. SALESmanago unique Digital Body Language features, real-time personalization engine enable marketers to deliver 1-to-1 offers via all marketing channels including e-mail marketing, dynamic website content, ad networks and direct sales. Thanks to deep integration with another product APPmanago, a mobile marketing automation system it offers world's only marketing technology platform that is actually ready for mobile revolution. SALESmanago is based in Krakow (Poland) but has offices and subsidiaries in New York, London and Bucharest.
Business expenditure on AI and intelligent automation technology is expected to reach $232 billion in the next seven years, according to KPMG, an 18-fold increase on the $12.4 billion spent globally today.. The increased expenditure on such technologies, which include artificial intelligence (AI), machine learning and robotic process automation (RPA), is detailed in KPMG's latest report on automation, titled'Ready, Set, Fail?: Avoiding setbacks in the intelligent automation race'. It found that businesses will struggle to get a return on investment in AI projects unless they're signed off at the most senior level, while for automation to be effective it must be incorporated into a wider digital transformation of the business that is led by technology. "It's not clear whether most companies understand that intelligent automation is about changing business processes, and then restructuring the organisation around those new processes now driven by technologies that didn't exist before," the report read. "This means shifting the business and operating model from one of people supported by technology to one of technology supported by people. The study, which involved interviewing executives from a range of sectors in businesses around the world, was commissioned to understand why businesses deployed AI, the implications of deployment, and how this could be scaled. Researchers found that while most executives emphasised intelligent automation can digitally transform their businesses and staff roles, several challenges existed - including being unable to handle the pace of change, having to choose from hundreds of technology options, and having to define the future workforce. "If it's not done right, they may be disappointed at what they save on work that is automated," said KPMG's leader of cognitive automation initiatives, Cliff Justice. "Determining what can be scaled across multiple areas requires some strategic thought and testing of the concept in units that are small enough to succeed with repetitive tasks.
With the development of the big three technologies--Internet of Things (IoT), the cloud and big data--too much information is a reality today. Working with this information to identify or predict a problem and to decide on a solution can be very difficult, but machine learning will help. Machine learning and artificial intelligence (AI) are developing along with the big three technologies, and machine learning is likely to be a big hit on the factory floor. It will help end users, machine builders and integrators to solve problems from the enterprise level down to the machine and process levels. The IoT solutions are great at getting connected and producing data, but without machine learning or other automated learning techniques, these solutions are limited as the huge amount of data drowns its effective use.