Making predictions is always a gamble. But given the way 2017 played out and the way 2018 is shaping up, odds are that the technology trends discussed below will play a significant role in your IT department this year.
Growing use of artificial intelligence, machine learning with data analytics, and business intelligence
Business applications continue to churn out large volumes of data, and users are trying to mine that data to determine patterns and predict user behavior. In ecommerce, users want to know customers' buying patterns, which will help market products better. Website designers want to understand how visitors move through their sites in order to improve conversion rates. And companies want to analyze their sales data to correlate marketing dollars spent with sales dollars generated.
Business intelligence and data analytics activities are becoming easier to perform, and that's driving their adoption in mainstream businesses that are seeking to make better, faster decisions.
Rise of AI-powered chatbots in customer service and support
Over the past few years, chatbots — the automated, human-like chat responders — have been more of an experiment, with limited adoption. Now, chatbots are becoming more mainstream as people see the benefits of those experiments, especially in customer service and support.
AI-powered chatbots are learning how to respond to customers and predict what they want
Unlike human customer service and support reps, chatbots don't have the physical and mental inconsistencies that can degrade service levels. Moreover, AI-powered chatbots are learning how to respond to customers and predict what they want. Based on customer history or questions customers ask during a chat session, AI-powered chatbots can ask users what they need and even ask leading questions, all to improve the support experience.
Use of natural language processing as a new form of human-computer interface
"Star Trek" fans aren't the only ones who've been waiting for this prediction to manifest. Business users, too, are eager to have computers understand natural language.
Take a sales manager who wants to generate a quarterly report. If the manager has to ask for it from an analytics specialist, the manager has to explain what she's looking for and hope the specialist accurately translates her request into something the computer can process in order to generate the information she wants. Natural language processing bypasses the analytics specialist and lets the manager work with a computer directly via speech. In response, the computer may generate a visual or auditory response, depending on the manager's preference.
Tightening of data protection laws
Everything is heading toward digitization. Every business process, every technology, everything done with information — from storing, transmitting and processing it — it's all in digital form. Now, a lot of countries are recognizing that their citizens' personal data needs to be protected.
In addition, they're recognizing that users have to opt-in to these digital relationships, and they have to know the reason their personal data is being provided to a data process or data consumer and know what the consumer will do with their data.
Tighter data protection laws are designed to secure their citizens' privacy as well as prevent data abuse and outright criminal activity such as fraud or theft. The most recent example of this is the European Union's General Data Protection Regulation (GDPR). While some countries like India are also coming up with data protection frameworks, others will enhance their existing framework.
Continuation of cloud adoption in mid-sized and larger enterprises
Cloud is a mindset. Governments and larger enterprises have been slower to adopt that mindset, preferring a private cloud/private data center strategy as a starting point. Now, the biggest barriers to their cloud adoption — security and data privacy risks — are well understood and processes and mechanisms have been put in place to mitigate them. Enterprises now also recognize that most cloud companies invest heavily in the security of their cloud infrastructure, platforms and cloud applications. And they recognize that, in most cases, the security teams of the cloud companies are much larger and much more experienced than their own.
Overall, the larger enterprises are finally becoming comfortable and confident with cloud security and the cloud itself. Governments are also taking the steps to put citizen-facing, non-sensitive data and applications on the cloud.
Use of blockchain in enterprise security for identity management
Blockchain provides a distributed, secure and unique system of records, so you can have a strongly encrypted authentication mechanism that prevents malicious users from breaking in. This makes it a great choice in terms of enterprise security, especially for an identity access management system, which manages user logins and authentication.
In 2018, we'll likely start seeing blockchain adoption in areas such as banking, financial services and healthcare.
The Latest
The 2024 State of the Data Center Report from CoreSite shows that although C-suite confidence in the economy remains high, a VUCA (volatile, uncertain, complex, ambiguous) environment has many business leaders proceeding with caution when it comes to their IT and data ecosystems, with an emphasis on cost control and predictability, flexibility and risk management ...
In June, New Relic published the State of Observability for Energy and Utilities Report to share insights, analysis, and data on the impact of full-stack observability software in energy and utilities organizations' service capabilities. Here are eight key takeaways from the report ...
The rapid rise of generative AI (GenAI) has caught everyone's attention, leaving many to wonder if the technology's impact will live up to the immense hype. A recent survey by Alteryx provides valuable insights into the current state of GenAI adoption, revealing a shift from inflated expectations to tangible value realization across enterprises ... Here are five key takeaways that underscore GenAI's progression from hype to real-world impact ...
As software development grows more intricate, the challenge for observability engineers tasked with ensuring optimal system performance becomes more daunting. Current methodologies are struggling to keep pace, with the annual Observability Pulse surveys indicating a rise in Mean Time to Remediation (MTTR). According to this survey, only a small fraction of organizations, around 10%, achieve full observability today. Generative AI, however, promises to significantly move the needle ...
While nearly all data leaders surveyed are building generative AI applications, most don't believe their data estate is actually prepared to support them, according to the State of Reliable AI report from Monte Carlo Data ...
Enterprises are putting a lot of effort into improving the digital employee experience (DEX), which has become essential to both improving organizational performance and attracting and retaining talented workers. But to date, most efforts to deliver outstanding DEX have focused on people working with laptops, PCs, or thin clients. Employees on the frontlines, using mobile devices to handle logistics ... have been largely overlooked ...
The average customer-facing incident takes nearly three hours to resolve (175 minutes) while the estimated cost of downtime is $4,537 per minute, meaning each incident can cost nearly $794,000, according to new research from PagerDuty ...
In MEAN TIME TO INSIGHT Episode 8, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses AutoCon with the conference founders Scott Robohn and Chris Grundemann ...
Numerous vendors and service providers have recently embraced the NaaS concept, yet there is still no industry consensus on its definition or the types of networks it involves. Furthermore, providers have varied in how they define the NaaS service delivery model. I conducted research for a new report, Network as a Service: Understanding the Cloud Consumption Model in Networking, to refine the concept of NaaS and reduce buyer confusion over what it is and how it can offer value ...
