Automated Web Analytics, Artificial Intelligence and Machine learning in 2019
2019 is going to be a definitive year for the so-called Digital Transformation. This term includes a series of emerging concepts in technology like Web Analytics, AI, Process Automation, Robot Learning, Internet of Things, etc. So far, we have already learned about IBM’s first commercial Quantum Computer, an incredibly powerful and sophisticated machine that will allow us to expand our current scientific, financial, data and healthcare limits to places that we barely dream of.
Just the beginning
This is just the beginning, but for now, we know we are starting this year on the right foot. For this article, we will review some of the most relevant trends that will have an impact on the Digital Transformation in 2019 and how they will affect us.
More people will make actionable strategic decisions with Automated Web Analytics
Automated reports based on web performance are an incredibly useful tool for decision making. However, not a lot of people really know what to do with them or what are they for. This is starting to change. Automated web analytics allows you to obtain important and accurate data fast.
The key here resides on the ability of people at figuring out the insights hidden and what to do next in concrete to make this information somewhat of a competitive advantage.
Web Analytics is an ever-growing industry. According to MarketsandMarkets, the activity will represent $3.09 Billion this year and it is something easily understandable: Automated data input, processing, analytics and fact-based decision making is now more important than ever, representing the cornerstone of delivering an improved product or service fast, in the way the customer wants it, how he wants it and when he wants it.
Real Developments on Artificial Intelligence is starting to finally take off
Right now, we have the biggest tech and communication companies on an extremely competitive race to see who will finally conquer the supremacy of AI tech. Even so, they are still aware that there’s a long way to go and some difficult challenges they need to achieve first.
To help speed up the process, many hardware companies like Intel, NVIDIA and AMD are starting to work on chips and processors with certain capabilities specially designed for AI, object detection processes, face and voice recognition and language processing.
It is important to acknowledge that one of the biggest challenges right now affecting Artificial Intelligence resides in the interoperability of neural networks. Think of it as the concrete language and protocol that AI will have to adopt widely in the future as an emerging technology.
The lack of a general agreement on the most viable neural network has slowed down an otherwise fast development tech. However, industry giants Facebook and Microsoft are working on the Open Neural Network Exchange (ONNX), an initiative with the purpose to consolidate and merge neural models so they can work in different protocols.
The democratization of Chatbots and Virtual Assistants
Massive adoptions of these technologies from big companies have as consequence the possibility for smaller companies to introduce these tools in their everyday activities.
There are many new chatbot developers emerging and they are currently offering some affordable and easier to implement virtual solutions, even creating some fun new features like customizable faces, voices and personalities to respond the needs of an ever-changing demanding customer.
Internet of Things will focus on security, consolidate on mobile and explore transportation
The biggest challenge IoT has is to face this year is to effectively set security guidelines in order to protect your information from potential breaches or cyber – attacks. This is not easy, however, the efforts and investments made by the titans of the industry are a good indicator of where they are standing.
In terms of connectivity, the IoT companies will keep innovating in the design of new potential solutions to improve your life, collecting actionable data for them to suggest products and services. Google and Amazon have already walked a long mile, however, Facebook will start developing innovative devices in order to enter the game.
On the other hand, the mobility and automotive industry will continue on the spotlight of IoT developers as it was during 2018. Major tech companies and car manufacturers are working together on data recollection, that can be used to connect your vehicle with useful devices on smart cities.
Some of the most important advances we will see in the following years will be the integration of IoT and Augmented Reality windshields, displaying data about the weather, road conditions, other drivers, new routes, etc.
Bottom – line
At the end of every year, we always realize our predictions came short from the real innovations that Digital Transformation ended up bringing to the table. And that is a good thing after all.
There are so many important advances that will impact sectors such as Healthcare, Finance and Science, changing the way we interact with the world, so we can only hope to be on top of that innovation and its effects.
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Per Damgaard Husted