CSQE exam Questions - Certified Software Quality Engineer Certification (CSQE) Updated: 2023

The following questions are representative of the types of questions you will find on the CRCM (Certified Regulatory Compliance Manager) exam.

1.  A borrower has a right to rescind a loan agreement in all of the following situations except:

a. A line of credit used for the borrower's business, secured by the borrower's primary  dwelling
b. A revolving line of credit secured by the borrower's primary dwelling used to Improve the borrower's home
c. An increase of a line of credit from $5,000 to $10,000 secured by the borrower's primary dwelling
d. A loan to pay off a contract for a deed secured by the borrower's primary dwelling

2.  When opening a deposit account online, Regulation E disclosures MUST be provided at the time of account opening or: 

a. Before the first EFT occurs 
b. Along with the first periodic statement 
c. Within three business days of account opening 
d. Within three business days of a customer's request for the EFT service

3.  The primary responsibility for overseeing a bank’s inherent compliance risk should lie with which of the following?

a. Internal audit
b. Consumers
c. Board of Directors
d. Compliance officer

4.   A branch manager finds an unexplained $7,000 cash shortage in Teller #1's cash drawer. Which of the following actions must the bank take?

a. File a Currency Transaction Report (CTR) with the IRS
b. Discharge Teller #1 immediately
c. Send a notice of adverse action to the bank's federal regulator
d. File a Suspicious Activity Report (SAR)

5.  A compliance professional recently discovered the bank did not file and disclose an accurate covered agreement, as required by the CRA Sunshine Act. In order to ensure correct reporting in the future, what must be provided? 

a. All individual mortgage loans 
b. Grants or loans to fulfill CRA activity 
c. Non-public or confidential information that will be provided in the public file 
d. A copy of the agreement to the regulatory agency 24 months after the end of the term

Answer Key

1. a
2. a
3. c
4. d
5. b

Quality Assurance programs are a great way to ensure our youth producers are creating a product we can be proud to consume. Any Indiana youth wishing to exhibit an animal at a county or state fair must have completed a Quality Assurance Certification. Youth have the option to complete an in-person Indiana 4-H Quality Livestock Care Course OR an online Youth for the Quality Care of Animals (YQCA) Course. County and State Fair will accept both of these options.

This requirement is set for youth exhibiting, Swine, Beef Cattle, Dairy Cattle, Sheep, Goats, Rabbits, and Poultry.

THE REQUIREMENTS:

Certification is a requirement (and it is very good practice) for youth planning to exhibit an animal (Swine, Beef Cattle, Dairy Cattle, Sheep, Goats, Rabbits, and Poultry) in the Orange County 4-H Fair (all other county fairs), the Indiana State Fair, and some open shows. You can check out handbook at “General Livestock Rules” for the most up to date details.

This requirement should not be viewed as just another rule, but rather as an important educational opportunity for 4-H livestock members. Making this an exhibition rule is how we are ensuring that 4-H members learn about quality assurance, but it really has nothing to do with animal exhibition. The real reason we are requiring this is so youth learn the best management practices with their animals. The goals of having 4-H members complete a quality assurance program include ensuring that youth will be more prepared to be ambassadors for animal agriculture in their role as youth livestock exhibitors; that animals from youth livestock programs are treated with the utmost care, and 4-H members are contributing to a safe, wholesome food supply.

The Saint Louis University IRB maintains an education program and a quality assurance program to provide researchers with services to aid in the navigation of the IRB process, Improve study conduct and quality of study records, and provide ongoing and current information from the field of research.

Below you can find additional information on:

Human Subjects Research (HSR) Training

All faculty, staff, students and collaborating researchers who conduct human subjects research must complete a Collaborative Institutional Review Board Training Initiative (CITI) Human Subjects Training course or provide documentation of comparable training.

Investigators who have completed a human subjects research training course other than CITI may provide a copy of their training certificate (with listed course modules) to the IRB Office with their IRB application or to irb@slu.edu. The IRB will determine whether the training course satisfies the mandatory education requirement. 

IRB Courses/Continuing Education

Please complete the SLU IRB Education Request Form to request and schedule an IRB education session. For additional inquiries about educational sessions, educational collaborations, or information about educational materials, please contact the IRB Office at 314-977-7744 or irb@slu.edu.

The IRB can also offer informational sessions to community groups. See additional information on the For Research Participants page of the IRB website for more information.

Quality Assurance Review (QAR) Program

The IRB maintains a QAR Program aimed at promoting high ethical and quality standards in human subjects research by providing monitoring and educational opportunities for researchers who conduct research involving human volunteers. See the QAR Program and FAQs for more information.

For more information, call 314-977-7744 or email irb@slu.edu.

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As an experienced teacher myself, I am well-versed with the ins and outs of online tutoring, including the different platforms available for this purpose. Over time, I have had the opportunity to explore, engage with, and evaluate a plethora of online tutoring platforms.

In this post, I’ve curated a selection of what I consider to be the best platforms for online tutoring available in the market right now. These online tutoring websites are especially ideal for finding side jobs for teachers.

In crafting this list of the best online tutoring jobs for teachers, my primary focus was on the features, user experience, and functionality that each platform provides. I chose not to include pricing as a determining factor because, let’s face it, prices can fluctuate and vary greatly depending on numerous factors. So, it seems only fair to let these platforms speak for themselves based on their merits, regardless of the cost involved.

Remember, as teachers, our mission extends beyond the four walls of a physical classroom. With the power of technology and the internet, we can reach out to students across the globe, breaking geographical barriers and enriching lives with the power of knowledge.

My hope is that this list of the best online tutoring jobs for teachers will serve as a trustworthy and practical resource as you navigate the world of online tutoring. This isn’t just a compilation of popular names, but a collection of platforms that I truly believe can help you make a difference in your students’ lives.

1. Chegg Tutors

Chegg Tutors is one the popular platforms for online tutoring jobs, presenting a great opportunity for teachers looking to leverage their knowledge and experience to earn additional income.

One of the strengths of Chegg Tutors lies in its stringent requirements for tutors. By requiring prior tutoring or teaching experience, as well as enrollment in or graduation from a four-year university, the platform ensures a high-quality roster of tutors. Further, the review and approval process by the company’s student success team gives added assurance to students of the calibre of tutors they’re engaging with.

The impressive breadth of tutoring subjects offered is another aspect that sets Chegg Tutors apart. With over 500 subjects spanning across math, English, foreign languages, science, and social studies, tutors with expertise in a wide range of areas have opportunities to offer their services. The additional feature of test prep for various exams like ACT, SAT, LSAT, GRE, GMAT, and MCAT further broadens the tutoring scope on this platform.

TutorMe is a comprehensive online tutoring platform offering a wealth of resources and a large pool of subjects. This platform offers an excellent opportunity for teachers interested in online tutoring jobs.

The multifaceted learning resources that TutorMe provides enable students to choose the tools that best align with their learning style. These include video conferencing, audio and text chat, shared whiteboard space, and file sharing capabilities, offering a dynamic and versatile learning environment.

Another cool feature I like about TutorMe is its 24/7 availability, which ensures that students can connect with a tutor in less than three minutes. This feature gives a huge advantage to tutors as they have the opportunity to engage with students around the clock, depending on their own availability. Additionally, the flexibility given to students to either choose their tutor or be matched by TutorMe provides an added layer of personalization to the service.

TutorMe’s wide subject variety, covering 299 subjects including basic subjects like English, science, math, and foreign languages, as well as more specialized areas like computer science, engineering, humanities, and professions, provides an extensive range of opportunities for teachers with different areas of expertise.

The application process for tutors at TutorMe is also well-defined, requiring previous tutoring or teaching experience, mastery of the subjects tutored, and enrollment in or graduation from an accredited university.

Wyzant provides an appealing platform for teachers seeking online tutoring opportunities, presenting an excellent balance of freedom, support, and accessibility.

Active tutors on Wyzant receive over two tutoring job opportunities each week. This level of demand suggests a high level of engagement from students, meaning tutors have regular opportunities to earn income.

Creating a free profile on Wyzant gives you immediate access to current tutoring jobs, allowing you to start your tutoring journey quickly. This profile can be enhanced with pictures, videos, student reviews, and more, offering a comprehensive showcase of your qualifications and experience for potential students.

Wyzant’s management tools are impressive and include the ability to schedule and sync lessons with your personal calendar, collect student ratings and reviews, track lesson and payment history, and provide helpful feedback for students and parents. You can also view student improvement over time, a feature that can offer immense satisfaction as a tutor.

Wyzant’s application process is relatively straightforward. You must be at least 18 years old, reside in the United States, and possess a valid Social Security Number. Unlike previous platforms, you’re not required to be a certified teacher to tutor on Wyzant, making the platform accessible to a wider range of potential tutors.

Preply is another good platform for online tutoring, presenting an excellent opportunity for teachers looking to diversify their income sources.

The platform gives tutors full control over their tutoring business. You can choose your hourly rate and change it anytime. Furthermore, you can decide when and how many hours you want to teach, with no minimum time commitment or fixed schedule.

Preply supports its tutors’ professional growth by providing professional development webinars and tips to upgrade their skills. In addition, they offer a range of resources such as a smart calendar for scheduling, an interactive classroom for engaging lessons, convenient payment methods, and a supportive tutor community. These features equip tutors with the tools they need to manage and grow their tutoring business effectively.

Preply caters to a broad audience, with tutors teaching over 800,000 students globally across more than 100 subjects. This extensive reach suggests that there’s a steady stream of new students, ensuring tutors have consistent opportunities to find new learners.

The application process at Preply is straightforward and inclusive. There’s no specific certification or teaching experience required, making it accessible for those who are passionate about sharing knowledge and have outstanding communication skills.

The process involves providing basic information about yourself, uploading a headshot photo, describing your strengths as a tutor, recording a short video introduction, and choosing your availability. Once your profile is approved, you’ll be visible to students worldwide.

VIPKid is an innovative platform offering one-on-one English language instruction to children in China. This platform offers a fantastic opportunity for teachers seeking online tutoring roles, especially those proficient in teaching English as a Second Language (ESL).

VIPKid’s program focuses on reinforcing key language skills, including listening comprehension, speaking and pronunciation, studying and phonics, and writing and grammar. This comprehensive approach ensures students gain a well-rounded command of the English language.

What sets VIPKid apart is the provision of prepared class materials. Their curriculum team has already designed materials for every class, so as a tutor, you won’t have to spend time creating lesson plans.

However, teachers are asked to prepare for class by reviewing these materials on the teacher portal 6-12 hours in advance. This allows you to fully understand the content and plan how to effectively deliver it during the session.

Teachers can teach any student who books their class, offering diverse teaching experiences. The platform signs 6-month contracts with applicants who pass their screening process. You have the flexibility to work as much or as little as you’d like, but VIPKid does ask for a 2-week notice if you plan to take an extended period off.

Studypool is a unique online tutoring platform that operates on a bid-based system. It’s an unconventional, yet intriguing approach for those seeking tutoring opportunities.

Here’s how it works: students post questions or assignments with a set time limit and price range. Tutors then bid on these posts, essentially “applying” for the job by offering the best response or strategy to tackle the question or assignment.

The student who posted the question then chooses the tutor they wish to work with based on the bids they receive. This dynamic system allows for competitive pricing and gives the tutor the chance to showcase their expertise right off the bat.

Since students can post questions at any time, tutors have the opportunity to work flexible hours. You can bid on questions in your area of expertise whenever you’re available. This makes Studypool a great option for those seeking to work on their own schedule.

In terms of qualifications, Studypool requires tutors to have a higher degree or be a current college student. This ensures that students receive professional help, as tutors are bidding on questions they’re confident in answering.

In addition to the bid-based system, Studypool also offers live tutoring sessions. This feature allows students to schedule a one-on-one session with a tutor for more in-depth assistance. It’s an excellent option for students needing a deeper dive into a syllabu beyond what a single question would provide.

The pricing model on Studypool is variable since it’s determined by the students posting the questions. The cost depends on how much the student is willing to pay for a particular question or assignment. While this could potentially result in higher earnings per question compared to a fixed-rate tutoring job, it also means income may be less predictable.

Tutor.com is a comprehensive online tutoring platform that caters to a wide range of learners across different stages. The platform offers tutoring in English and Spanish in hundreds of subjects, including AP® subjects, algebra, writing, programming languages, world languages, web design, and NCLEX® exam preparation.

One of the most commendable aspects of Tutor.com is its rigorous tutor vetting process. Tutors are required to pass a strict selection process, including education verification, multiple background checks, a subject matter exam, and an interview. This ensures that students receive help from highly qualified and experienced tutors.

Tutoring sessions are held in Tutor.com’s user-friendly online classroom. This digital space includes a two-way whiteboard, code editor, text editor, and graph paper, along with other educational tools like a graphing calculator, formulas, file sharing, and emojis. Students can choose to communicate with tutors via text-chat or voice, depending on their preference.

One of the major benefits of becoming a tutor on Tutor.com is the flexibility it offers. You can log in and offer your services whenever you’re available. There’s no need to travel, making it a perfect choice for those looking for remote work opportunities. Additionally, the platform handles payments regularly, eliminating the need for you to issue invoices.

Skooli is an online platform that enables students to connect with professional educators and subject-area experts for personalized tutoring sessions. To become a Skooli tutor, one must possess a Bachelor’s degree (or higher) in a related field, a government-issued teaching license, or a specialized instructor qualification.

Tutors can conduct their sessions from anywhere with an internet connection, making the platform highly flexible. They can set their own schedules, and can be online to accept instant help requests whenever they’re available. This makes Skooli a suitable option for those seeking to convert their knowledge into income during their spare time.

The platform facilitates a highly interactive learning environment through features such as video conferencing, online chat, screen sharing, an interactive whiteboard, and Google Drive. This digital classroom setup effectively simulates face-to-face tutoring experiences, extending beyond geographical limits while introducing features unique to online learning.

iTalki is an online language learning platform that connects students with language tutors across the globe. To become an iTalki tutor, one has to apply, choosing either to be a Professional Teacher or a Community Tutor. An applicant can start as a Community Tutor and later upgrade to Professional Teacher if they wish.

Certain technology requirements are essential for iTalki teachers, and applicants are required to submit an introduction video as part of the application process. This video is a crucial marketing tool to attract more students and should ideally be between one to four minutes long.

The introduction video should be split into two parts: the first should cover an introduction about the tutor (their name, where they’re from, their interests, and hobbies), the languages they speak, their accent, information about their lessons, and an outro encouraging students to book a lesson. The second part focuses on the technical aspects of the video, including the background, script, image quality, lighting, headphone use, video alignment, and background sounds.

Once approved as a teacher, tutors can update their profiles, including their intro video, and add new teaching languages if desired. The platform is designed to be user-friendly, allowing tutors to reach a global audience and share their language expertise.

Varsity Tutors is a comprehensive educational platform that provides personalized, one-on-one tutoring services to students across a broad range of subjects. The platform caters to diverse student needs. It also offers preparation for Advanced Placement and International Baccalaureate exams, as well as college and career readiness.

Varsity Tutors allows tutors to be their own boss, manage their schedules, and work from anywhere. The platform uses a matching algorithm to pair tutors with students who best fit their teaching style, taking into account over 100 attributes and millions of data points.

The use of advanced technology like adaptive assessments and AI-generated lesson plans enables the identification of students’ areas of weakness and how to best structure tutoring sessions.

Varsity Tutors provides an array of tools to facilitate tutoring, including personalized dynamic learning plans, a purpose-built Live Learning Platform, and features that assist with scheduling, communication with clients, invoicing, and payment.

To become a Varsity Tutors instructor, potential tutors need to apply, complete a video interview, and once matched with students, deliver high-quality instruction. Payment is bi-weekly, and tutors have the flexibility to adjust the number of students they work with over time.

In this agile world, quality assurance (QA) has changed from “test everything” to “test as fast as you can.” The increasing adoption of agile and DevOps is minimizing the importance of QA for many teams because these ideologies focus on speed, and quality can become secondary. Even though the agile methodology calls for QA to be part of the sprint team, it poses a unique challenge because proper testing and validation take time.

In many instances, organizations with large customer bases forgo QA altogether. Or, as is often the case, testing is only done on the outputs of each sprint team or piece of work. This approach doesn’t test products in the context in which they will be used and doesn’t even test the product as a whole, just a portion.

In its current form -- with traditional lab and outsourced testing -- QA is indeed being killed by agile. That’s because traditional lab and outsourced testing are too slow to keep up with agile sprint and release cadences.

Traditional Testing Methods Are Failing

I've seen firsthand why this is the case, having spent my career in engineering and currently serving in an executive role at a company that has succeeded in moving away from traditional testing methods toward a crowdsourced testing model. First, there is a perception in many companies that QA is just a pitstop on the journey to a more glamorous job, such as scrum master, developer or product manager. This leads to a talent shortage where small QA teams aren’t able to test at the speed and scale of software being developed. In Capgemini’s World Quality Report, 42% of survey respondents list a lack of professional test expertise in agile teams as a challenge in applying testing to agile development.

With limited resources, internal QA teams can’t achieve the test coverage necessary to ensure bugs don’t make their way into production. The diversification of platforms -- browsers, mobile devices and operating systems (Android, Windows, iOS, etc.) -- and new devices like voice assistants pose significant challenges for internal QA teams. These experiences require dedicated teams with broad skills and bigger budgets -- things few internal QA teams have to spare.

Offshore models haven’t had much more luck keeping up with the demands of an agile environment. Though they can be a cheaper alternative to traditional labs, they can’t account for real-world use cases. They can also take a while to get started and don’t fit well in the SDLC. Overall, they provide only a sliver of the test coverage enterprises need.

QA Can Make A Comeback

Agile is killing traditional QA. But that doesn’t mean all QA is dying. Many companies have evolved their strategies, blending in-house and outsourced testing with automated, real-world and beta testing.

• Automated testing: Test automation has quickly become a popular option for companies. In fact, its use grew 85% from 2015 to 2017 across all industry domains, according to KPMG. Automation is not a complete replacement of internal testing, but it does augment the strategy by taking on lower-priority tests (smoke and regression testing, for example) that don’t require a human touch.

Smaller teams are usually better off starting with an off-the-shelf enterprise solution so they can get up and running quickly and have the support to handle software bugs along the way. More mature testing teams may benefit more from an open source automation framework. This approach provides increased flexibility and customization, but it requires advanced technical expertise and a longer runway to build the solution as even mature teams can have trouble managing an automation solution at scale.

When that human touch is required, real-world and beta testing can help fill in the gaps.

• Real-world testing: Real-world testing tests with real users on personally owned devices in their home environments, enabling brands to uncover edge use cases and functional problems that only exist in the real world. Testers can be segmented by demographic (age, location, device, etc.) and expertise (QA, security, usability, etc.). This testing can be started quickly and scale at a moment’s notice, helping agile teams add more testers on-demand to account for peak periods.

Real-world testing is a valuable solution for brands looking to expand test coverage or those that don’t have the resources to replicate real-world scenarios themselves. The key to getting started is finding a fully managed partner with the scale to match desired customer personas, devices, locations, languages and even payment instruments in order to take the pressure off internal teams and augment existing processes.

• Beta testing: Beta testing releases a product to a subset of users prior to the full launch and is a common practice for many companies. This approach gives companies a large test base with which to work. The big drawback is that it can be inconsistent and disorganized because testers aren’t vetted and duplicate bugs are shown. All brands can benefit from beta testing, but those with more loyal users will get more feedback and therefore better results. Brands can implement beta testing by dedicating internal resources to the task of setting up the tests and managing responses or by working with a partner to manage the process.

By giving agile teams additional outside resources that easily scale, each of these testing approaches keeps developers moving quickly and able to adjust to the high demands of customers. Each method works best when managed by a dedicated resource who can integrate testing into the team and ensure bugs are handled correctly, allowing testing to shift further left in the SDLC and become a true part of the agile process.

QA is still critical in delivering the best experiences possible to today’s demanding customers. Consumers expect their digital products to Improve over time, and with each new update, their expectations rise. If they are disappointed, the cost of switching software is basically zero. With no space for error, brands can turn to automated, real-world and beta testing to ensure they can keep quality high even as development moves faster.

© JATO

Looking for used Honda vehicles? Visit Autos Marketplace.

When it comes to purchasing a pre-owned vehicle, concerns about reliability and the overall condition of the car are common among buyers. After all, no one wants to end up with a lemon or face unexpected repairs shortly after making a substantial investment. In such a scenario, Honda Certified Pre-Owned (CPO) vehicles offer an enticing solution. Backed by a reputation for quality and performance, Honda CPO cars provide buyers with the assurance of a reliable and well-maintained vehicle. In this article, we delve into the world of Honda CPO, exploring what sets it apart and why it is a smart choice for those in the market for a used car.

1. The Honda Certified Pre-Owned Program: Honda's CPO program stands as a testament to the company's commitment to customer satisfaction and vehicle quality. To qualify for certification, Honda vehicles must undergo a meticulous and comprehensive 182-point inspection by certified technicians. This rigorous evaluation ensures that each vehicle meets Honda's stringent standards for mechanical condition, appearance, and reliability. Only vehicles that pass the inspection receive the coveted Honda CPO status.

2. The Benefits of Honda Certified Pre-Owned: a) Warranty Coverage: One of the primary advantages of purchasing a Honda CPO vehicle is the warranty coverage that comes with it. Buyers receive an extension of the original new car limited warranty, providing them with peace of mind. The warranty covers major components, including the engine, drivetrain, and electrical system, offering protection against unexpected repair costs. b) Roadside Assistance: Honda CPO vehicles also come with 24/7 roadside assistance, which adds an extra layer of security to your driving experience. Whether it's a flat tire, a dead battery, or any other unexpected incident, Honda's roadside assistance program ensures that help is just a phone call away, giving you the confidence to tackle any journey. c) Vehicle History Report: Every Honda CPO vehicle comes with a comprehensive vehicle history report, providing buyers with a detailed account of the car's past. This report includes information about previous owners, accident history, maintenance records, and more. Transparency and knowledge about the vehicle's history empower buyers to make informed decisions and understand the true value of their purchase.

3. Reliability and Quality Assurance: Honda has earned a well-deserved reputation for manufacturing reliable vehicles that stand the test of time. This commitment to quality carries over to their CPO program. The thorough inspection process, in combination with the warranty coverage, demonstrates Honda's confidence in the reliability of their certified pre-owned vehicles. Additionally, Honda CPO cars often undergo necessary reconditioning to ensure they meet Honda's high standards, further cementing their reliability and quality.

4. Variety and Choice: Honda offers a wide range of models and trim levels within their CPO program, providing buyers with plenty of choices to suit their preferences and needs. Whether you are in the market for a compact car like the Honda Civic, a versatile SUV like the Honda CR-V, or a family-friendly minivan like the Honda Odyssey, you can find a certified pre-owned Honda that fits your lifestyle and budget.

5. The Honda CPO Buying Experience: Purchasing a Honda CPO vehicle goes beyond the peace of mind it offers. The Honda dealership experience is known for its excellent customer service and dedication to making the buying process hassle-free. From knowledgeable sales representatives who can guide you through your options to flexible financing and trade-in options, Honda dealerships strive to provide a positive and satisfying buying experience for their customers.

Choosing a Honda Certified Pre-Owned vehicle allows buyers to enjoy the best of both worlds: the affordability of a pre-owned car and the reliability and peace of mind associated with a brand-new Honda. With the comprehensive inspection process, warranty coverage, and additional benefits like roadside assistance, Honda CPO vehicles offer exceptional value for prospective buyers. The commitment to quality and reliability that Honda is known for extends to their CPO program, making it a compelling choice for those in search of a used car. Furthermore, the availability of a diverse range of models and trim levels within the Honda CPO program ensures that buyers can find a vehicle that suits their specific requirements and preferences. Whether you prioritize fuel efficiency, spaciousness, or advanced safety features, Honda has a certified pre-owned option to match your needs.

In addition to the quality of the vehicles themselves, the Honda dealership experience plays a crucial role in the overall satisfaction of CPO buyers. Honda dealerships have a reputation for providing exceptional customer service and support throughout the buying process. From knowledgeable sales representatives who can answer questions and provide guidance to flexible financing options, Honda dealerships strive to ensure a seamless and enjoyable purchasing experience for their customers.

It is important to note that while Honda CPO vehicles offer numerous advantages, it is still advisable for buyers to conduct their due diligence. Taking the time to research specific models, comparing prices, and test-driving the vehicle can provide further assurance and help buyers make an informed decision.

In conclusion, Honda Certified Pre-Owned vehicles offer a compelling option for buyers seeking a reliable, well-maintained, and quality-assured used car. With the rigorous inspection process, extended warranty coverage, and additional benefits, Honda CPO vehicles provide peace of mind and a sense of confidence in the purchase. Whether it's the assurance of reliability, the variety of choices, or the exceptional dealership experience, Honda CPO stands as a testament to Honda's commitment to customer satisfaction and vehicle excellence. So, when considering a pre-owned vehicle, explore the world of Honda Certified Pre-Owned and discover the value it brings to your car-buying journey.

David Walker is well aware that large language models such as ChatGPT, which was trained on the entire internet, can hallucinate. They can even make up historical events that never happened.

"They can tell lies, they can make up information," said Walker, who is chief technology officer of Westpac, in an interview. "They're incredibly powerful."

The bank, which is based in Sydney and has more than 12 million customers, can't afford to let a public version of ChatGPT make up or hallucinate answers for customers or employees who use a virtual assistant. GPT (generative pre-trained transformer) models are artificial neural networks that are pre-trained on large data sets of unlabelled text, and able to generate humanlike content.

But Walker does want to deliver employees and customers the ChatGPT experience of humanlike answers to their questions — if it can be done safely, with assurance the answers are accurate. 

The bank is working with Kasisto to test its Kai-GPT, a large language model trained only on conversations and data in the banking industry. 

"Hallucination in public AI models is unavoidable and can get pretty bad," said Zor Gorelov, CEO of Kasisto, in an interview. This is why banking GPTs need accuracy, transparency, trust and customizability, he said. 

This is also why banks like Westpac will focus on internal use cases for generative AI — giving it to front-line bankers, contact center agents and mortgage workers, Gorelov said. Westpac will train Kai-GPT on its proprietary content, and thereby dramatically reduce the risk that the system will hallucinate, Gorelov said. 

Walker hopes to provide more complete and more conversational help to customers and staff, for instance, in the mortgage lending process. 

"When people apply for a home loan, they have to fill in lots of forms," Walker said. "We need to know who you are, we need to know all kinds of things about you. This is going to aid us in checking the quality of information coming in, so it's going to stop us having to go backwards and forwards to our customers. It's going to streamline the process. It's going to help our customers, it's going to help our lending staff, and it's going to make things much more straight through and seamless."

Other banks are likely to do similar experimentation over the next two years, according to Peter Wannemacher, principal analyst, digital banking at Forrester.

"Specialist tools built on top of a large language model will be launched by vendors, traditional financial institutions and fintechs," Wannemacher said. "Most traditional financial institutions will start by focusing on employee-facing generative tools, rather than exposing a chatbot built on top of a large language model directly to the end user." 

But he also thinks banks will proceed with caution. 

"Large language models have suddenly become both better and widely utilized, but they still fail spectacularly and can even generate totally wrong, even fraudulent outputs," Wannemacher said. "Money is a highly sensitive area of people's lives, and traditional banks will rightly resist launching anything customer-facing until they have a much better sense of what can go wrong and how to address it." 

To prevent Kai-GPT from answering a question based on information from another bank that doesn't pertain to Westpac, Walker is using what he calls layering. One layer of the model is trained on data and conversations from many banks. Another layer is trained on information specific to Westpac, such as its policy documents, forms and websites and recordings of conversations in the bank's contact centers. 

"As it formulates an answer, to work out the intent of the question, it will draw on that industry layer," Walker said. "It's got the knowledge of all those conversations from all those banks and it'll be smarter because of that. But it'll draw even deeper down into the Westpac-specific model when you're talking about terms of a home loan or a deposit interest rate. Those layers work together to formulate these really rich, wonderful answers, but in an accurate and concise way." 

Using as much data as possible gives a richness and precision to answers, Walker said: "It's still a matter of identifying what you want to train on and what knowledge you need the GPT engine to understand." 

The bank is moving slowly for now to ensure the new technology fits within its responsible AI policy and "how we think ethically about protecting our staff and our customers," Walker said. "We want to make sure that we don't run ahead too fast and throw something out there that could do harm. We have the principle 'do no harm.' It's sort of fundamental."

The first go-live of Kai-GPT at Westpac will be in mortgage operations. Over the next few months, the bank will workshop the use of the technology in the loan application process to help borrowers know what forms they should use and what information the bank needs to receive, which should help speed up the process for the bank.

Once Walker's team feels confident about Kai-GPT's ability to help employees and customers and do no harm, he thinks he'll be able to quickly deploy it to other areas of the bank.

The key advantage of a large language model over earlier generations of chatbots in use at Westpac is the richness of the answers it can provide, Walker said.

"It provides an answer in a way that's more like a human talking to a human, so customers or employees feel like they're getting the information they need rather than just sharp one-liners," he said. "We think this is quite a game changer when it comes to this next generation of working with artificial intelligence." 

Westpac already uses Kasisto's Kai software as an orchestrator of other chatbots the bank uses in areas like service management, human resources and risk management. If an employee can't remember which bot to go to for information, he or she can go to the orchestrator and get routed to the right chatbot.

"We thought that that was a very powerful way to handle conversation and we've found that really useful," Walker said. "It's a one-stop-shop entry point."

Kai-GPT was trained on Kasisto's own data, data from other banks Kasisto works with and information gleaned from financial websites, SEC filings and other sources. 

"Our goal is to create the best large language model in the world designed for banking and financial services and achieve what we call artificial financial intelligence," Gorelov said. "We feel that our job is to help our customers of all sizes to have the highest performing large language model that is designed and built for banking that provides accurate responses and knows more about banking than most bankers do."

Kai-GPT is transparent, Gorelov said, in terms of the data and methodology used for its training.

"It is trusted, because we've worked with banks over the past 10 years," he said. "We know how precise they are, how demanding they are when it comes to personally identifiable information and proprietary content."

The program is also customizable, so banks can inject their own content and make it work better on their own data sets.

The bigger the data set and the more questions a large language model is capable of answering, the more important and difficult to enforce guardrails become. 

"The world went from prescriptive AI, where every intent, every response needed to be designed manually to generative AI, where you no longer need to anticipate every user's question and retrain the model when something new comes up," Gorelov said. "It's a different world we live in and we're quite excited about it. But guardrails and the AI protection, transparency, visibility of sources, those issues become more and more important."

Generative AI, a type of AI that is trained to generate original content, is growing in both its consumer and business use cases. Particularly in the enterprise, generative AI is:

• Quickly automating and simplifying project workflows.
• Taking repetitive tasks off the plates of busy employees.
• Helping businesses maintain high quality and volume production standards.

Learn how generative AI is optimizing enterprise use cases across a variety of industries and tasks.

Also read: Generative AI Landscape: Current and Future Trends

And: 100+ Top Artificial Intelligence Companies 2023

Generative AI in the Enterprise: Table of Contents

Generative AI Enterprise Use Cases

Some enterprises, like marketing and sales-driven companies, have quickly added generative AI into their content creation workflows, while others — like real estate, education — have been more hesitant.

Overall, more enterprise companies are looking to today’s top AI companies for assistance – most firms aren’t able to produce or support artificial intelligence without external support.

Still, generative AI’s integration into enterprises is expanding across industries and department types:

Code generation, documentation, and QA

For software developers and programmers, generative AI uses cases include writing, completing, and vetting sets of software code. Quality assurance is perhaps the most important emerging use case in this area, with generative AI models handling bug fixes, test generation, and various types of documentation.

Product and app development

Generative AI is now being used to code various kinds of apps and write product documentation for these apps. While apps are probably the most common type of product development for generative AI today, generative AI support is also going into projects like semiconductor chip development and design.

Blog and social media content writing

With the right prompts and inputs, large language models are capable of creating appropriate and creative content for blogs, social media accounts, product pages, and business websites.

Many of these models enable users to deliver instructions on article tone and voice, input past written content from the brand, and add other specifications so content is written in a way that sounds human and relevant to the brand’s audience.

Inbound and outbound marketing communication workflows

Inbound and outbound marketing frequently require contextualized email and chat threads to be sent to prospective and current customers on a daily basis. Generative AI solutions can create and send the content for these communications, and in some cases, they can also automate the process of moving these people to the next stage of the customer lifecycle in a CRM.

Graphic design and video marketing

Generative AI is capable of generating realistic images, animation, and audio that can be used for graphic design and video marketing projects. Some generative AI vendors offer voice synthesis and AI avatars so you can create marketing videos without actors, video equipment, or video editing expertise.

Entertainment media generation

As AI-generated imagery, animation, and audio become more and more realistic, this type of technology is being used to create the graphics for movies and video games, the audio for music and podcast generation, and the characters for virtual storytelling and virtual reality experiences.

Some tech experts predict that generative AI will constitute the majority of future film content and script writing, though creatives are understandably pushing back on that assumption.

Performance management

Generative AI uses cases include several business and employee coaching scenarios. As an example, contact center call documentation and summarization, when combined with sentiment analysis, gives managers the information they need to assess current customer service rep performance and coach employees on ways to improve.

Business performance reporting

Because generative AI can work through massive amounts of text and data to quickly summarize the main points, it is becoming an important piece of business performance reporting. It’s especially useful for unstructured and qualitative data that usually require more processing before insights can be drawn.

Customer support and customer experience

For many of the most straightforward customer service engagements, generative AI chatbots and virtual assistants can handle customer service questions at all hours of the day. Chatbots have been used for customer service for many years, but generative AI advancements are giving them additional resources to deliver comprehensive and more human answers without the help of a human customer support representative.

Optimized enterprise search and knowledge base

Both internal and external search benefit from generative AI technology. For internal employee users, generative AI models can be used to scour, identify, and or summarize enterprise resources when users are searching for certain information about their job.

Similarly, generative AI models can be embedded into company websites and other customer-facing properties, giving them a self-service solution to find answers to their brand questions.

Pharmaceutical drug discovery and design

Generative AI technology is being used to make drug discovery and design processes more efficient for new drugs. AI-driven drug discovery is one of the areas of generative AI that is receiving the most funding right now, so expect this particular enterprise use case to grow significantly in the coming months and years.

Medical diagnostics

Generative AI in medicine is still nascent, but that is changing quickly. Image generation and editing tools are increasingly being used to optimize and zoom into medical images, allowing medical professionals to get a better and more realistic look at certain areas of the human body. Some tools even perform medical image analysis and basic diagnostics on their own.

More on this topic: Generative AI in Healthcare

Inverse design

In medicine, manufacturing, and other materials-based industries, generative AI is being used in a process called inverse design. With inverse design, generative AI assesses missing materials in a process and generates new materials that fulfill the required properties for that environment.

Consumer-friendly data analysis

Although generative AI poses some crucial security concerns, it can also be used to heighten data and consumer privacy.

For example, generative AI can be used to create synthetic data copies of genuine sensitive data, allowing analysts to analyze and derive insights from the copies without compromising data privacy or compliance.

Smart manufacturing and predictive maintenance

Generative AI is quickly becoming a staple in modern manufacturing, helping workers create more innovative designs and meet other production goals.

In the realm of predictive maintenance, generative models can generate to-do lists and timelines, make workflow and repair suggestions, and simplify the process of assessing complex data from sensors and other parts of the assembly line.

Inventory and supply chain management

Several components of supply chain management can be enhanced with generative AI. Route optimization, demand forecasting, provider risk management, and inventory management can all be made smarter and more accurate with generative AI suggestions.

Fraud detection and risk management

This type of technology can analyze large amounts of transaction or claims data, quickly summarizing and identifying any patterns or anomalies in that data. With these capabilities, generative AI is great for fraud detection and risk management in finance and insurance scenarios.

Learn about other generative AI examples.

How Enterprises Are Using Generative AI Today

Generative AI enterprise use cases comprise a number of creative initiatives. Some are sticking with conventional subscription-based generative AI models, while others are building their own models and versions of these tools into their existing tool stack.

Here are a few examples of how major enterprises are adding generative AI to their processes today:

Professional services and business operations: Accenture uses case

Accenture, a major consulting firm, is using generative AI to help its clients create smarter business strategies, roadmaps, and operations.

Accenture’s clients span across banking, sales, customer service, legal, and other industries and are using Accenture’s generative AI services for enhanced search, document summarization, and automated communications.

Life sciences: Nvidia uses case

Nvidia recently released its BioNeMo Drug Discovery Cloud Service, which uses large language modeling to advance and speed up drug discovery, protein engineering, and research in genomics, chemistry, biology, and molecular dynamics.

Travel and hospitality: Expedia uses case

Expedia’s beta ChatGPT-powered travel planner lets users ask questions and get recommendations on travel, lodging, and activities. It also saves suggested hotels and venues through an intelligent shopping feature, so users can recall and easily book recommended lodging.

E-commerce and retail: Shopify uses case

Shopify now offers Shopify Magic to help retailers generate product descriptions and other product-related content with artificial intelligence.

Fintech and software development: Stripe uses case

Stripe, a financial services and SaaS company, is using OpenAI’s GPT-4 to power better documentation, summarization, and query management for developers that use Stripe Docs.

Also read: Generative AI Companies: Top 12 Leaders

Generative AI Use Cases: Ethics and Compliance

Generative AI is an emerging technology and there are still many unknowns. For example, most users aren’t familiar with how the models are trained or what data goes into their training.

Additionally, these models have wide-ranging capabilities that can both help and harm cybersecurity postures. And finally, generative AI models are quickly growing in their skill sets, posing a threatening alternative for many skilled workers’ careers.

So what can enterprises do to make sure they’re using generative AI responsibly and ethically, in compliance with security/privacy regulations? We expect responsible generative AI expectations to rapidly evolve as the technology matures, but here are a few tips to get started with responsible use:

• Only input depersonalized and nonsensitive data into large language models. Otherwise, your most sensitive data could become part of the tool’s training dataset and become exposed to third-party users and companies.
• Stay current with generative AI news and trends. The generative AI space is changing daily, and with that change comes news of companies that are getting the technology right. Yet some companies are taking dangerous and/or unethical steps in their AI development. Staying updated on all of these changes will ensure you only use the most credible tools and work with the most ethical AI providers.
• Create an AI usage and ethics policy for your business. There are policy templates that are publicly available that should cover how internal users in your organization are allowed to use AI tools and also how your business is allowed to invest in third-party tools.
• Offer career training to all employees. Employees are rightfully afraid that parts of their job will soon be outsourced to AI; to combat this fear and build up their career prospects, offer training and certifications that will help them to use AI in their jobs and build skills that cannot easily be demonstrated by AI models.

Learn more: Generative AI and Cybersecurity: Advantages and Challenges

Bottom Line: Generative AI Enterprise Use Cases

Because generative AI capabilities are changing on a near-daily basis, enterprise use cases for this new technology are evolving just as quickly. With this change comes new opportunities for enterprises to enhance their current operations.

Already, enterprises are leveraging generative AI for everything from writing marketing copy to discovering new pharmaceuticals. For enterprise leaders who want to incorporate generative AI into their business, the key is to consider what model works best for your business, what you’re trying to achieve, and how this new business factor will affect your employees and your customers.

Read next: Top 9 Generative AI Applications and Tools