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How the Future of AI Will Impact Business

  As more companies start to adapt deep learning-powered applications (speech recognition interfaces, for example) for their businesses, such AI benefits will become even more pronounced.

“Customers, partners, employees — every individual — will expect to engage with brands across every industry through voice-enabled interfaces.” By continually analyzing vast troves of data in real time, the next wave of AI-powered assistants will rapidly grasp customers’ priorities and predict their needs.

Brands that want to communicate with customers as quickly as possible anywhere in their daily lives will be able to take advantage of AI-powered platforms to deliver timely, hyper-personalized experiences.

And while machines may take over tasks involving high-volume, routine work, they don’t perform so well when it comes to abstract tasks involving human capabilities like empathy, judgment, creativity, inspiration, and leadership.

“There are some things about running an organization that I don’t think are going to change, even in the face of these crazy, powerful technologies: articulating a compelling vision that will attract talent, customers, and stakeholders;

Empathy is also important, particularly in human resources departments as employees deal with the angst brought about by change.” Accenture forecasts that AI could boost U.S. labor productivity by 35% by 2035.

critical aspect here is to encourage an open mindset among employees, to ensure they trust rather than fear applying automation to various routine tasks.

“Trust is needed across the board — in the technology, in business leaders, and in the training for business users — to ensure the path to an AI-enabled workforce is smooth, and we all benefit,” said Marco Casalaina, Vice President of Product Management at Salesforce Einstein.

To avoid a persistent shortage of skilled labor, businesses must develop strategies to help employees upgrade their proficiencies and quickly gain the new skills they need to exploit the power of AI.

The new CEO of Intuit says the rise of artificial intelligence will be as big a challenge as the company’s shift to cloud computing

Sasan Goodarzi has some big shoes to fill, three months or so into his reign as CEO of $66.5 billion Intuit.

His predecessor, Brad Smith, successfully shepherded Intuit into the cloud computing era during an 11-year tenure, delivering huge growth in the subscription-based online versions of Intuit’s flagship TurboTax and QuickBooks products.

To Goodarzi’s mind, he told Business Insider earlier this month, the rise of artificial intelligence represents a big opportunity for a company like Intuit — including the chance to adopt a new business model.

He foresees a future where users don’t pay for many of Intuit’s products, and the company instead makes money on products like TurboTax by presenting customers with fine-tuned, personalized offers for other financial services.

But Goodarzi says that even that potentially huge shakeup to its business model is secondary to the broader implications of applying artificial intelligence to the world of personal and business finance, where livelihoods literally hang in the balance.

The idea is that TurboTax’s algorithms will work in concert with human financial experts: When the system finds a tax question it can’t answer, it connects you with its network of CPAs and tax attorneys.

“[Customers] actually want to talk to an expert, a human being, to get their questions answered, and so in essence what we are focused on is connecting experts with those that we serve on our platform and fundamentally digitizing the entire service industry — which, by the way, lags behind the technology industry,”

More futuristically, Goodarzi praises recent Intuit efforts like QuickBooks Assistant, a voice assistant that lets small business users sift their data and turn up information on accounts payable and received.

He also says that he’s proud of QuickBooks Capital, which weighs the creditworthiness of small business applicants — its algorithm looks at non-traditional factors to help candidates who might otherwise have trouble getting a loan, either because of their background or their lack of a strong credit history.

Rather than pay up front, you might give your consent (Goodarzi says that consent is an important part) to have Intuit analyze your data to match you up with a vetted selection of financial products from partners that might include Roth IRAs and credit card offers. Turbo, a new, free Intuit personal finance product, does some of this already.

He says that the company’s algorithms include data from 26 billion sources, helping the company work to average out the kinds of bias that can sometimes pop up in AI systems.

How Artificial Intelligence Will Affect Your Work And Life

Artificial intelligence is the simulation of human intelligence processes, especially computer system.

specific application of artificial intelligence of expert system and speech recognition and machine vision.

Siri to Alexa to Google Home all technologies are becoming more universal at a tremendous pace and will have a huge impression.

Besides, robotic procedure automation of natural language documents translation to fielding customer service.

It can’t replace with humans besides the creativity and quickness of the human brain and something which devices have to an expert.

Basic Chatbots are manifesting how technology is cohesive and able to capture human emotions by inducing —

For instance, the future latest technology has a much more human-like voice and best intonation.

The robotic procedures and its automation with natural language documents translation to fielding customer service request.

These machines are already responsible for most of the precise work which is being done across multiple companies.

arbitrage interacts with replacing people with robots These machines are the power of artificial intelligence.

Urgent responses, packages delivery or some medical products it will become as quick with drones.

Usually, it supports industries better to plan business operation and better to understand the customer’s issues.

Thus, allowing them to increase revenue and minimize costs and enhance overall customer satisfaction.

In this industrial and modern digital age, industries must act rapidly more often in real time.

Big companies are getting this with the application of updates analytics and machine learning and real-time customizations.

Furthermore, the advanced technology of artificial intelligence may use to predict the actions of a customer with information.

They are offering smart product or service with precise time along with the best digital channel.

Predictions are the future where people will no longer feel mandatory to stand in line the store.

Artificial intelligence gives the ability to think analytically by using concept and advances in technologies.

AI to Transform The Financial Services: Six Examples

Artificial Intelligence is not a new kid on the block, but rather an integral part of a growing number of industries.

First used mostly in computer science, AI now has advanced to the most important areas of our life, e.g.: The rise of AI in the financial industry shows how fast it’s gaining traction, even in traditionally conservative areas, and how quickly it’s changing the business landscape.

Digital banks, loan-issuing apps and online mortgage platforms use machine learning algorithms to use alternative data (e.g., smartphone data) to evaluate loan eligibility and provide personalized options.

Enormous processing power allows vast amounts of data to be handled in a short time, and cognitive computing helps to manage both structured and unstructured data, a task that would take far too much time for a human to do.

US leasing company, Crest Financial, employed artificial intelligence on the Amazon Web Services platform and immediately saw a significant improvement in risk analysis, without the deployment delays associated with traditional data science methods.

For a number of years now, artificial intelligence has been very successful in battling financial fraud — and the future is looking brighter every year, as machine learning is catching up with the criminals.

Online investment platforms offer more accurate predictions for stock performance due to the fact that algorithms can test trading systems based on past data and bring the validation process to a whole new level before pushing it live.

Voice-controlled virtual assistants powered by smart tech like Amazon’s Alexa are also gaining traction fast, which is no surprise: boasting a self-education feature, they get smarter every day, so you should expect tremendous improvements here.

The biggest US banks, such as Wells Fargo, Bank of America and Chase, have launched mobile banking apps that provide clients with reminders to pay bills, plan their expenses and interact with their bank in an easier and more streamlined way, from getting information to completing transactions.

Artificial intelligence-enabled software verifies data and generates reports according to the given parameters, reviews documents, and extracts information from forms (applications, agreements, etc.).

Employing robotic process automation for high-frequency repetitive tasks eliminates the room for human error and allows a financial institution to refocus workforce efforts on processes that require human involvement.

This will make managing personal finances exponentially easier, since the smart machines will be able to plan and execute short- and long-term tasks, from paying bills to preparing tax filings.

We can also expect to see better customer care that uses sophisticated self-help VR systems, as natural-language processing advances and learns more from the expanding data pool of past experience.

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