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Council Post: Does Your Project Need Artificial Intelligence?

#artificialintelligence

I am the founder and CEO of Apriorit, a software development company that provides engineering services globally to tech companies. Upgrading your product using top-notch technologies like artificial intelligence (AI) is often considered the key to gaining a competitive advantage. Even during the pandemic in 2020, 47% of organizations left their investments in AI unchanged and 30% decided to increase their AI funding, according to Gartner. AI can enhance processes across various industries. For instance, when applied in healthcare, AI can analyze thousands of MRIs and X-rays in minutes, helping therapists quickly identify abnormalities. In industrial production, AI solutions can improve quality control by processing a wide range of data from production lines, maintenance records and customer complaints.


8 ways AI & automation can complement each other (and your organization)

#artificialintelligence

Before we try to explain how automation and artificial intelligence can integrate productively, it might help to define their differences. Many people no doubt confuse the two, and that isn't helped by the way the media often conflates the two. First off, "automation" involves the application of technologies for carrying out processes with minimal human intervention. Robotics and software are forms of automation, but they don't necessarily include AI. Artificial intelligence is the simulation of human intelligence by machines.


7 Uses of Machine Learning in Finance

#artificialintelligence

It has been said that to give a man a fish is to feed him for a day, whereas to teach a man to fish is to feed him for life. Forward-looking financial service companies are similarly finding that giving computers instructions is not nearly as fruitful as teaching them to write their own. From assessing credit risks to beefing-up the security of their own networks, fintech startups, in particular, are turning to machine learning finance-based solutions in order to work smarter rather than harder. Considering that over 200 leading financial institutions will attend the upcoming October 2016 Machine Learning Fintech Conference, investment in this subset of artificial intelligence (AI) seems to be a wise move, indeed, for companies that don't want to be left behind. With leading banks starting to invest in AI, and machine learning in particular, fintech companies will be significantly disadvantaged if they fail to do likewise.


7 Uses of Machine Learning in Finance - Ignite

#artificialintelligence

It has been said that to give a man a fish is to feed him for a day, whereas to teach a man to fish is to feed him for life. Forward-looking financial service companies are similarly finding that giving computers instructions is not nearly as fruitful as teaching them to write their own. From assessing credit risks to beefing-up the security of their own networks, fintech startups, in particular, are turning to machine learning finance-based solutions in order to work smarter rather than harder. Considering that over 200 leading financial institutions will attend the upcoming October 2016 Machine Learning Fintech Conference, investment in this subset of artificial intelligence (AI) seems to be a wise move, indeed, for companies that don't want to be left behind. With leading banks starting to invest in AI, and machine learning in particular, fintech companies will be significantly disadvantaged if they fail to do likewise.


7 Uses of Machine Learning in Finance

#artificialintelligence

It has been said that to give a man a fish is to feed him for a day, whereas to teach a man to fish is to feed him for life. Forward-looking financial service companies are similarly finding that giving computers instructions is not nearly as fruitful as teaching them to write their own. From assessing credit risks to beefing-up the security of their own networks, fintech startups, in particular, are turning to machine learning finance-based solutions in order to work smarter rather than harder. Considering that over 200 leading financial institutions will attend the upcoming October 2016 Machine Learning Fintech Conference, investment in this subset of artificial intelligence (AI) seems to be a wise move, indeed, for companies that don't want to be left behind. With leading banks starting to invest in AI, and machine learning in particular, fintech companies will be significantly disadvantaged if they fail to do likewise.