uCertify has introduced the AIBIZ course to help professionals pass the CertNexus AIZ-100 exam and gain the fundamental knowledge of Artificial Intelligence (AI) concepts. The course covers exam objectives and provides knowledge in the areas such as AI fundamentals, implementations, and impact. Artificial intelligence is a wide-ranging branch of computer science dealing with devices that perceive its environment and take actions that maximize its chance of successfully achieving its goals. It is all about building smart machines capable of performing tasks that typically require human intelligence. The business world has recently given AI a renewed interest. It is a truly disruptive force that promises to deliver an entirely new level of results for all aspects of the business. If the organization wants to compete and survive in this transforming business landscape, it will need to use the power of AI.

Be a certified Artificial Intelligence Professional with uCertify

The AIZ-100 certification exam provides business leaders, project managers, and other stakeholders a path to drive their AI strategy. The certification is also designed for individuals who wish to explore basic AI concepts. It validates the candidates’ foundational knowledge of AI concepts, technologies, algorithms, and applications. 

The uCertify AIBIZ course comes with engaging lessons and exam-based TestPrep. These TestPrep consist of hundreds of questions using over 40 item types to ensure that learners are prepared for the certification exam. The TestPrep provides detailed reports to help users assess their exam preparation. In addition to the TestPrep uCertify provides the PrepEngine which is a gamified version of TestPrep that has a deep foundation in learning science. It is created to meet the needs of today’s students and professionals who don’t have time to sit for 90 minutes of test sets. The PrepEngine assumes the responsibility for learning management and helps students both retain and recall better by using randomization, mastery, and spaced learning. uCertify PrepEngine is provided at no additional cost.

So, start learning AI and prepare for the AIZ-100 exam today with uCertify!

In this digitized world, “customer experience” has become the key and our demand as consumers for all sorts of goods services or content, messaging, products, offers, information is only growing. Sometimes, we unknowingly leave our traces on the Internet in the form of navigation, cookies, IP address, and download history allowing a digital identity to be built without our knowledge or control. All this information is interconnected, joined together and then exploited by targeting and segmenting through recommendation engine solutions. This information, consisting of traces that we leave on the Internet (voluntarily or not), is an important part of what is now called “Big Data”. Big Data and connected devices have only increased the complexity of processing this information and organizations are overwhelmed by this continuous flow of data. Artificial Intelligence (AI) is among the promising solutions to the massive, self-learning, autonomous exploitation of “Big Data”. Big Data is a field that covers a massive volume of structured and unstructured data that is difficult to process using traditional database and software techniques. In most organizations, the volume of data is either too big, moves too fast, or exceeds current processing capacity. 

Gain Hands-on Expertise In Artificial Intelligence With uCertify

The uCertify Artificial Intelligence and Big Data course focuses on the role of AI in the world of Business Intelligence. It also covers how AI can replace Business Intelligence as companies these days have begun adopting solutions built around AI platforms and how these solutions will help create bridges between “traditional” and Big Data Business Intelligence. The course takes a small step back and considers how AI will change our analytical approach, mainly within a company in terms of knowledge of a “Client”, to make it more dynamic, more reactive. This trend has already begun: in the last decade, we have moved away from Customer Relationship Management (CRM), where we had to have a 360° view of the customer with an interconnection of web channels and call centers. There was a time when the reference point of a customer was the home, identified through postal address and household members: adults, children, seniors, and etc. Technological developments, such as the smartphone and social networks have changed the landscape such that we no longer contact a location but a person.

So, what are you waiting for? Become an expert in Artificial Intelligence today with uCertify!

Financial service industries are said to be the most traditional work source of the business industry. The financial services are not in a hurry to accept the new and latest technology trends until they are thoroughly checked and tested. Digital transformation (DT) has become an essential part when it comes to business strategy and planning. Various DT tools are used in the financial industry which has made work easier and efficient.

DT has also led opportunities to make work faster and cost-effective. The tools help to perform various tasks which makes it easier to achieve the deadlines before the target dates. DT also helps to improve employee working habits. It also helps to improve the customer experience, which further leads the organization to remain competitive in the market.

Let’s look into some of the benefits of DT in the financial industry

  1. Mobile banking has been improved due to DT tools

In today’s digital era, people can deposit an amount, make a fixed deposit, transfer funds, pay and apply for the loans just with the click of a button on your mobile device. Digital transformation has made it possible to lessen the paperwork in the finance industry. Many mobile banking applications provide the easiest and human-friendly services. These applications are designed using various machine learning tools which help us to capture data, process the data smartly through various programmed algorithms, and deliver the desired and accurate results to the target audience.

Various mobile banking applications not only provide digital services but also helps in solving customer’s queries. Customers today are concerned with facilities such as 24*7 assistance and access, user-friendly applications, and less human involvement as possible. DT has helped to improvised the financial services by using various machine learning and deep learning tools and with the help of artificial intelligence as well.

  1. DT helps to develop specialized skills

As digital technologies evolve, so does the hiring procedures in the financial industry. Traditional consumer-facing roles now require specific and specialized skills to perform various tasks. As a result, the financial industry recruiters are looking for acquisitions with the new specialized skills which can help to replace the traditional work culture which has become irrelevant due to the DT.

There is no doubt that technology has a major influence on our lives. DT has developed various innovative technologies in no time, and it is evolving thoroughly. In order to stay competitive in this ever-changing market trends, many financial services are adopting the new DT business models which are helping them to maintain customer relationship and loyalty.
The financial success of the industry is dependent on various business automation and integration technologies.

  1. DT helps to develop new digital payment methods

The digitization of the financial sector has helped to produce much new innovative product and the digital payment method is one of the by-products of it. Digital payments have now been possible through various DT tools. A smartphone is what you need to conduct digital payment.

With the help of artificial intelligence, it has been possible to pay various bills. Financial mobile apps have the auto deduction facility of various loan payments which could be beneficial for the customers as they do not have to run to the banks or remember the dates. Various digital payments are made using the infrared and bar code scanning technology available on the mobile. Many payment apps like Apple pay, Samsung pay, google pay, etc are available in the market which helps the customers to make secure online transactions.

  1. DT provides a great digital banking solution

Digitization of the banking sector has helped many banks to transform their work into a paperless work culture. DT also helps to come up with various incentive schemes and offers. The traditional bank work culture used to provide incentive schemes on the new account opening but due to the digitization, the bank calculates the banking transaction of the customer and provides them with various incentives.

Digitization is not restricted to online accounts. There are various banking systems that operate digitally thus having no branches or buildings. Mobile banking has enabled people to pay various credit card bills, debt payments, etc with just a click of a button.

  1. DT provides a great cryptocurrency and blockchain technology

Digital payments with the help of digital cryptocurrencies such as bitcoins have proven to be a faster and cheaper way of trading online. The introduction of bitcoins has proved to be a less human error way of carrying out a transaction. The cryptocurrencies are easy to use currencies which enables the customers to transfer it from one account to another more securely.

The minimal risk and less human error property of cryptocurrencies help many of the financial industries to build a strong and trustworthy relationship amongst the customers.

Conclusion

Digital transformation in finance has proven to be beneficial to many people by giving them fast online access to many banking services. It also helps to provide great assistance by solving the queries of the customers in a swiftly and smart manner. Many financial institutions have started adopting the digital transformation system to keep themselves running smoothly in the ever-changing market.

For years now AI has been predicted to have the biggest impact of all technological innovations across industries. As a result, futuristic technologies like AI and Big Data are forecasted to break records. That’s because despite their differences, all industries share basic processes like data accumulation, testing, and design among others. As such, AI can automate these processes and make them better and more efficient. Let’s take a look then at how AI will impact major industries this year.

How Artificial Intelligence Will Impact Major Industries in 2020

Healthcare

AI’s biggest impact is set to be in the healthcare industry where it’s primed to ironically re-humanize medicine by allowing doctors to focus more on patient care and better patient outcomes rather than paperwork and administrative functions. AI will also be increasingly used as a triage doctor assessing minor illnesses and conditions, allowing doctors to focus on more serious cases. Additionally, the adoption of robotic process automation for functions like revenue cycles, supply chain management, and patient scheduling will also become more accurate and more efficient, as AI helps automate components of these functions.

Human Resources

AI is quickly becoming a key driver behind candidate-job matching as well as automating communications with candidates and HR managers. Forbes explains that AI will be most effective at eliminating human bias and increasing efficiency in candidate assessment and communication. Apart from external candidate matching, AI is increasingly being used internally within organizations to assess internal promotions and leadership candidates. In an article by Marcus on how AI is changing the nature of business, the post outlines how certain businesses utilize algorithms to pinpoint leadership qualities among their employees. That information is then used to identify early-career employees that should be nurtured for leadership positions.

Project Management

Every company has projects that need planning, managing, and monitoring, however, the existing set of tools that do that are often very complex, and don’t always do enough to warn about potential problems or deficiencies at every level of a project. Managing risk is a critical aspect of project management and AI-powered decision support systems and automation can make projects more successful by reducing costs and mistakes and streamlining processes for better resources management. In fact, we noted how AI will help reduce project manager workload by as much as 20-40% and help gain better insights into project risks.

Finance

With the proven success of AI automation and machine learning, AI-driven algorithmic trading accounts for 75% of all financial market volumes. Machine learning is expanding to help major financial institutions cut down time spent on mundane administrative tasks, which can now be completed in a matter of seconds rather than several thousand hours. Machine learning is also used in banking and insurance to improve customer experience through chatbots, predictive analysis for products that customers might need, reducing claim processing times, and helping clients in savings and budgeting better by tracking spending behavior, among many others.