AI in the Workplace and How It Supports Us
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Over the last decade, there was significant fear that Artificial Intelligence (AI) will replace all humans at the workplace. However, those fears were totally unfounded, and today we work more efficiently and effectively, side by side, with smart algorithms.
According to IDC, enterprises across the planet will spend approximately $656 billion this year on future-of-work technologies. The bulk of that money will go towards AI-powered software for enterprise applications. As most of us will work remotely in the coming years, the industry will also focus more on overcoming challenges related to collaboration and productivity.
Let’s look at how AI is already supporting us at work, transforming how we get things done.
Read moreThe Future of Marketing is AI
With the rapid adoption of intelligent technology, marketers now have access to a wealth of data-driven insights that were previously unimaginable. These platforms help them to better understand their target audiences while also relieving the workload on team members so they can focus more time on converting customers into raving fans! It’s hard to imagine a company function that could benefit more from artificial intelligence than marketing (AI Marketing).
Its core activities include understanding customer needs, matching those up with products and services available on the marketplace, and persuading people to buy what you’re selling.
Read moreTop 9 Ways to Overcome or Prevent AI Bias
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Smart algorithms are only as good as their training data sets. As such, it’s not surprising that algorithmic bias (or Bias in Artificial Intelligence = AI Bias) increasingly pops up when Artificial Intelligence (AI) and Machine Learning (ML) models go into production.
AI bias is dangerous because it could easily lead to poor decisions with disastrous consequences. I’m sure you have come across examples of AI bias in the news, like AI’s inability to recognize minorities and so on. So, it’s not hard to imagine businesses finding themselves in a legal nightmare.
How do you overcome or prevent AI bias?
Read moreWhat is Competitive Analysis and How can I Conduct it Online?
Learning from the competition also means learning how to win. This has been true for a long time. Moreover, the Internet offers many opportunities to conduct a competitor research analysis quickly, comprehensively, and reliably.
But the question is, how does it work? The following provides answers to questions about online competitive analysis.
Read moreThe Use of Artificial Intelligence in Google Search Engine Algorithms
The search engine giant Google has always been focused on understanding and responding to its users’ needs. Over the past few years, we have witnessed countless changes in Google’s algorithm, and it’s always been something important to industries.
However, while most of Google’s algorithms changes weren’t earth-shattering, this current evolution just might be it. The introduction of its latest Artificial Intelligence (AI) algorithm called MUM is something we haven’t seen before.
Read moreStemming, Stop Words and SEO
House or houses, the house or just house – how do these small differences affect SEO? Stemming and stop words have been a controversial topic for search engine optimization for years. Is it worth paying attention to these nuances? Or are inflections, prepositions and articles irrelevant for a successful ranking on Google?
Read more7 Unusual Use Cases for AI
Whenever we discuss the key benefits of artificial intelligence (AI), we think of its application in connected cars, FinTech, and healthcare. While we first encountered smart algorithms in the form of Amazon product recommendations and personal assistants like Siri, this technology has evolved to become so much more.
Some use cases in healthcare and software development were groundbreaking (to say the least). However, every now and then, we come across some surprising applications for new technologies.
Let’s take a look at seven unusual real-world use cases for AI.
Read moreHow the Big Players Are Deploying AI
While the last couple of years has undoubtedly been difficult for all types of businesses, it didn’t slow down development within the artificial intelligence (AI) and machine learning (ML) space
According to IDC, as much as 65% of organizations have accelerated the use of digital technologies this year. In this case, technologies like AI will transform existing business processes to boost employee productivity, drive customer engagement, and enhance business resiliency.
Read moreSEO keywords: dead or alive?
Content, search intent, user experience, differentiated user signals, and artificial intelligence (AI) — Google’s ranking criteria are becoming increasingly complex. So where does that leave keywords? Have the keywords in the text outlived their usefulness as ranking factors? The relevance of keywords for search engine optimization has changed. Online copywriters are now facing new challenges.
Read moreArtificial intelligence – key technologies for the financial industry
From robots on the factory floor to decision-making in investment banks, technology has always driven the financial service sectors. John McCarthy first coined the term artificial intelligence in 1956, but for many this concept from the world of science fiction is only becoming a reality today.
The potential of this technology has driven billions of dollars into research and development around the world; however, there are no clear examples or benchmarks that show us exactly where we may end up regarding making machines think like humans.
Artificial intelligence (AI) is a crucial tool in the financial sector. AI covers everything from chatbot assistants to new systems and tools designed to quickly detect fraud. In addition, AI tools can be used to improve task automation in the financial industry, helping to increase efficiency. While AI may provide a lot of obvious advantages, it’s important to recognize that even now, a significant amount of a bank’s manual procedures are still being done manually.
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