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 edge brings computing resources and data storage closer to end users, which explains the rapid boom in edge computing, but it also generates a huge amount of data ... 44% of organizations are investing in edge IT to create new customer experiences and improve engagement. To achieve those goals, edge services observability should be a centerpoint of that investment ...
The growing adoption of efficiency-boosting technologies like artificial intelligence (AI) and machine learning (ML) helps counteract staffing shortages, rising labor costs, and talent gaps, while giving employees more time to focus on strategic projects. This trend is especially evident in the government contracting sector, where, according to Deltek's 2024 Clarity Report, 34% of GovCon leaders rank AI and ML in their top three technology investment priorities for 2024, above perennial focus areas like cybersecurity, data management and integration, business automation and cloud infrastructure ...
While IT leaders are preparing organizations for accelerated generative AI (GenAI) adoption, C-suite executives' confidence in their IT team's ability to deliver basic services is declining, according to a study conducted by the IBM Institute for Business Value ...
The consequences of outages have become a pressing issue as the largest IT outage in history continues to rock the world with severe ramifications ... According to the Catchpoint Internet Resilience Report, these types of disruptions, internet outages in particular, can have severe financial and reputational impacts and enterprises should strongly consider their resilience ...
Everyday AI and digital employee experience (DEX) are projected to reach mainstream adoption in less than two years according to the Gartner, Inc. Hype Cycle for Digital Workplace Applications, 2024 ...
When an IT issue is not handled correctly, not only is innovation stifled, but stakeholder trust can also be impacted (such as when there's an IT outage or slowdowns in performance). When you add new technology investments and innovations into the mix, you have a recipe for disaster ...
To get a better understanding of the top issues facing IT teams in financial services, Auvik recently released its 2024 Financial Services IT Trends Report ... Not surprisingly, the experience of FinServ IT teams is significantly impacted by the onslaught of cyberattacks facing financial services organizations as well as the complex regulatory environment of this industry ...
The CrowdStrike outage serves as a potent illustration of the risks associated with complex security environments. Enterprises are increasingly advised to consider simpler, more robust solutions that do not rely heavily on reactive security measures ...
When IT leaders started telling Enterprise Management Associates (EMA™) more than a year ago that their personnel were using premium ChatGPT subscriptions to create device configs and automation scripts, we knew the industry was on the verge of a revolution ...
The rapid rise of creative "right-brain" generative AI (GenAI) has opened the door to greater adoption of the more analytical "left-brain" AI decisioning solutions by global businesses, according to new research from Pegasystems ...