Artificial intelligence is expected to be ubiquitous within just five years, as developers gain access to cognitive technologies through readily available algorithms. With AI, companies are able to make sense of unstructured data, improve data center efficiency or meet the needs of customers who demand nothing less than smart apps and personalized interactions.
In this guide, we cover the technologies that encompass the umbrella term artificial intelligence, including image recognition, machine learning, deep neural networks and speech recognition. Learn how artificial intelligence apps help businesses bridge customer service gaps and gain sales intelligence from big data, how AI is changing the way developers build applications, and the ways AI technologies affect data center infrastructure.
We also cover examples of how businesses successfully use AI today, along with the challenges that surround cognitive systems such as machine learning.
1Artificial intelligence apps-
Artificial intelligence seeds down to business apps
Businesses have access to more information than ever before, and they are using AI technologies to make the most of that data.
In this section, learn about the AI technologies being applied to business apps, such as AI chatbots in customer relationship management systems and deep learning for advanced analytics.
Data-driven marketing strategies enable automation of time-consuming processes while giving companies a way to personalize their ads to customers. But there's a careful privacy line that may be easily crossed. Continue Reading
The AI-as-a-service application feeding frenzy is well under way as companies look to artificial intelligence apps to gain a competitive edge. Continue Reading
2AI myths -- busted-
AI chatbots will steal your job and other myths
Forget what you've heard: The broad generalization that artificial intelligence systems will steal jobs isn't true. In fact, while AI will replace certain roles, others will sprout and smart machines will make many jobs easier by providing quick access to information.
Beyond the job market fears, many technology providers overhype what AI can do or misuse the term to cash in on the trend. Don't allow their artificial statements and false beliefs impede your intelligence on this emerging technology market.
A request by the White House for information about the future of artificial intelligence shows a divide between those who embrace intelligent machines and those who worry about a future in which robots run the world. Continue Reading
Artificial intelligence apps are being used to fill certain job gaps, but this expert says most of us have nothing to fear from an artificially intelligent future. Continue Reading
Some of the artificial intelligence tools on the market today are only algorithms optimized to do one specific task and are far from the original fantasy of AI replacing human intelligence. Continue Reading
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AI development tools speed smart app availability
You don't need a massive development team and deep pockets to build artificial intelligence apps.
IBM, Google and other tech giants have made artificial intelligence technologies, including natural language processing and machine learning algorithms, available for businesses to use in their applications to help make AI pervasive.
Tech giants are handing over access to high-powered machine learning algorithms that can parse text or speech to decrease time to development of advanced machine learning applications. Continue Reading
To commoditize AI, IBM strives to simplify the task of programming systems with artificial intelligence technologies. Continue Reading
Because machine learning app development involves a lot of trial and error, being able to test modeling concepts and designs inexpensively is helpful. That's where cloud comes in. Continue Reading
Check out this episode of the Talking Data podcast and learn about machine learning methods that stand poised to change the course of data analytics. Continue Reading
4AI in the data center-
How cognitive technologies affect data centers, IT operations
Artificial intelligence technologies have begun to change the way companies interact with customers, the way developers build applications and the way IT teams buy data center infrastructure.
Businesses that want to use cognitive tools need servers with GPUs designed to handle AI workloads, for sure, but AI technologies such as machine learning are being used to help IT teams improve data center infrastructure efficiency and take over time-consuming IT management tasks.
Machine learning is coming to the data center both to improve internal IT management and embed intelligence into key business processes, thanks to newer, more computationally complex forms of neural network algorithms. Continue Reading
The world's first automated network defense tournament aims to push automatic program analysis to find ways to fix security flaws and bugs faster than humans can. Continue Reading
Things can go wrong when implementing machine learning, with significant effects on IT operations. Here are some of the challenges to prepare for. Continue Reading
5AI in action-
How businesses apply AI to engage customers, boost sales
Within the next five years, there's a high probability that the email you receive about a product or service will be from a chatbot, thanks to advances in machine learning and natural language processing.
In this section, learn how companies are using artificial intelligence tools to advance their sales and marketing efforts or gain intelligence from the data they collect, along with users' challenges with cognitive platforms.
Marketing departments are using AI chatbots to bridge the gap between leads and actual sales calls, with many measures of success. Continue Reading
Twitter is among the companies relying on deep learning techniques instead of traditional machine learning to make use of unstructured data. Continue Reading
6AI tech talks-
Hear how AI affects businesses, jobs
Artificial intelligence technologies have made their way into business applications, and the impact on companies, employees and customers gives industry watchers plenty to talk about.
In these videos, TechTarget editors discuss how businesses are applying various cognitive computing technologies and the overall positive and negative impacts that these new approaches may have.
As machines get smarter, they're encroaching on job functions in unexpected ways. In an interview with SearchCIO, the director of the Humans and Autonomy Lab at Duke University weighs in on how AI affects jobs.
The deeper that technology is integrated into customers' lives, the more they'll expect from the companies they do business with. CIOs should consider the machine learning and artificial intelligence investments they'll have to make to meet customer expectations.