Table of Content
- Farewell from Protocol
- Teddy Flo, Chief Legal Officer, Zest AI
- How is technological innovation breaking down barriers and increasing access to financial services?
- A legal battle is just one more factor casting doubt on the consumer finance regulator’s rulings.
- AWS CEO: The cloud isn’t just about technology
Nobles Funeral Home and Crematory announces the funeral service for Mr. Tommy Faulk, age 58, who passed away Wednesday, May 5, 2021 at the Pavilion. Mr. Tom was a lifelong resident of Appling County, a retired forklift operator for Rayonier/Interfor and a member of Zoar Baptist Church. Mr. Tommy is preceded by his parents, Norman Sr. and Lynette Boyd Faulk, and a brother, Ron Faulk. Surviving is his two daughters, Amanda Lynette Faulk of Broken Arrow, OK and Valerie Nicole...

“A lot of these places that are attempting to do this are just not tech-native or tech-first companies,” BCG’s Gupta said. For one thing, smaller companies are competing for talent against big tech firms that offer higher salaries and better resources. “There is a lack of technical talent to a significant degree that hinders the implementation of scalable MLops systems because that knowledge is locked up in those tech-first firms,” he said. “The enterprise might try to force everyone to use a single development platform. The reality is most people are not there, so you have a whole bunch of different tools. Intuit had MLops systems in place before a lot of vendors sold products for managing machine learning, said Brett Hollman, Intuit’s director of engineering and product development in machine learning.
Farewell from Protocol
A lot of benefits of scale for our customers, including the expertise that they develop on learning one stack and really getting expert, rather than dividing up their expertise and having to go back to basics on the next parallel stack. We're an $82-billion-a-year company last quarter, growing 27% year over year, so we have, of course, every use case and customers in every situation that you could imagine. What we see a lot of is folks just being really focused on optimizing their resources, making sure that they're shutting down resources which they're not consuming. The motivation's just a little bit higher in the current economic situation.

It could request what’s known as an en banc review from all judges on the 5th Circuit or push the issue to the Supreme Court. A three-judge panel of the New Orleans-based 5th Circuit Court of Appeals found Wednesday that the CFPB’s funding structure violated the Constitution’s separation of powers doctrine. From our family to yours, we are honored to serve you during these difficult times.
Teddy Flo, Chief Legal Officer, Zest AI
Part of that is because of the size of datasets and because of the machine learning capabilities which are now being created. They require vast amounts of compute, but nobody will be able to do that compute unless we keep dramatically improving the price performance. What we're really trying to do is to look at that end-to-end journey of data and to build really compelling, powerful capabilities and services at each stop in that data journey and then…knit all that together with strong concepts like governance. By putting good governance in place about who has access to what data and where you want to be careful within those guardrails that you set up, you can then set people free to be creative and to explore all the data that's available to them.

This is because consumers see something they like or want – a new choice, more options, or lower costs. When we look across the Intuit QuickBooks platform and the overall fintech ecosystem, we see a variety of innovations fueled by AI and data science that are helping small businesses succeed. By efficiently embedding and connecting financial services like banking, payments, and lending to help small businesses, we can reinvent how SMBs get paid and enable greater access to the vital funds they need at critical points in their journey.
How is technological innovation breaking down barriers and increasing access to financial services?
There have been analyst reports done showing that…for typical enterprise workloads that move over, customers save an average of 30% running those workloads in AWS compared to running them by themselves. But every customer is welcome to purely “pay by the drink” and to use our services completely on demand. But of course, many of our larger customers want to make longer-term commitments, want to have a deeper relationship with us, want the economics that come with that commitment. Now's the time to lean into the cloud more than ever, precisely because of the uncertainty. We saw it during the pandemic in early 2020, and we're seeing it again now, which is, the benefits of the cloud only magnify in times of uncertainty. AWS now has more than 200 services, and Selispky said it’s not done building.

Inside of each of our services – you can pick any example – we're just adding new capabilities all the time. One of our focuses now is to make sure that we're really helping customers to connect and integrate between our different services. So those kinds of capabilities — both building new services, deepening our feature set within existing services, and integrating across our services – are all really important areas that we'll continue to invest in. By providing access to banking services such as fee-free savings and checking accounts, remittances, credit services, and mobile payments, fintech companies can help the under/unbanked population to achieve greater financial stability and wellbeing. For example, fintech is enabling increased access to capital for business owners from diverse and varying backgrounds by leveraging alternative data to evaluate creditworthiness and risk models.
A legal battle is just one more factor casting doubt on the consumer finance regulator’s rulings.
Open Banking can also widen the net of prospective lenders by providing an immediate and accurate understanding of a customer’s financial history, allowing more lenders to better understand the specific risk profile and hence drive a more competitive loan product for the end customer. The lawyer's fundamental job is to take super complex and technical things and boil them down to very easily digestible arguments for a judge, for a jury, or whoever it might be. Lawyers are trying to take different frameworks from one topic and apply them to another, and then convince you that that is or is not appropriate. Being a judge is very different because you're evaluating what the parties present to you as the applicable legal frameworks, and deciding how new, groundbreaking technology fits into legal frameworks that were written 10 or 15 years ago. In this decision, the court ruled in favor of a lawsuit from two trade groups seeking to overturn the CFPB’s 2017 payday lending rule.

On any given day, Lily AI runs hundreds of machine learning models using computer vision and natural language processing that are customized for its retail and ecommerce clients to make website product recommendations, forecast demand, and plan merchandising. But this spring when the company was in the market for a machine learning operations platform to manage its expanding model roster, it wasn’t easy to find a suitable off-the-shelf system that could handle such a large number of models in deployment while also meeting other criteria. As companies expand their use of AI beyond running just a few machine learning models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems. In other cases, just the fact that we have things like our Graviton processors and … run such large capabilities across multiple customers, our use of resources is so much more efficient than others. We are of significant enough scale that we, of course, have good purchasing economics of things like bandwidth and energy and so forth.
This will be essential to securing benefits of open finance for consumers for many years to come. The increased transparency brought about by Open Banking brings a vast array of additional benefits, such as helping fraud detection companies better monitor customer accounts and identify problems much earlier. I think there's been some discussion that people may litigate some of these things, so I can't comment, because those frequently do come to our courthouse. And I think there are certainly people opining on that, yes and no. So much of what judges do is that we rely on the parties that are before us to tell us what's right and what's wrong.

The way we make decisions on credit should be fair and inclusive and done in a way that takes into account a greater picture of a person. Lenders can better serve their borrowers with more data and better math. Zest AI has successfully built a compliant, consistent, and equitable AI-automated underwriting technology that lenders can utilize to help make their credit decisions. Through Zest AI, lenders can score underbanked borrowers that traditional scoring systems would deem as “unscorable.” We’ve proven that lenders can dig into their lower credit tier borrowers and lend to them without changing their risk tolerance. This presents a tremendous opportunity that innovation in fintech can solve by speeding up money movement, increasing access to capital, and making it easier to manage business operations in a central place.
We could not be prouder of, or more grateful to, the team we have assembled here over the last three years to build the publication. They are an inspirational group of people who have gone above and beyond, week after week. I don't think we have immediate plans in those particular areas, but as we've always said, we're going to be completely guided by our customers, and we'll go where our customers tell us it's most important to go next.
