These are still very manually intensive processes, and they are barriers to entrepreneurship in the form of paperwork, PDFs, faxes, and forms. Stripe is working to solve these rather mundane and boring challenges, almost always with an application programming interface that simplifies complex processes into a few clicks. Stripe powers nearly half a million businesses in rural America.

The internet economy is just beginning to make a real difference for businesses of all sizes in all kinds of places. We are excited about this future. 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.

While artificial intelligence AI systems have been a tool historically used by sophisticated investors to maximize their returns, newer and more advanced AI systems will be the key innovation to democratize access to financial systems in the future.

D espite privacy, ethics, and bias issues that remain to be resolved with AI systems, the good news is that as large r datasets become progressively easier to interconnect, AI and related natural language processing NLP technology innovations are increasingly able to equalize access. T he even better news is that this democratization is taking multiple forms.

AI can be used to provide risk assessments necessary to bank those under-served or denied access. AI systems can also retrieve troves of data not used in traditional credit reports, including personal cash flow, payment applications usage, on-time utility payments, and other data buried within large datasets, to create fair and more accurate risk assessments essential to obtain credit and other financial services.

By expanding credit availability to historically underserved communities, AI enables them to gain credit and build wealth. Additionally, personalized portfolio management will become available to more people with the implementation and advancement of AI. Sophisticated financial advice and routine oversight, typically reserved for traditional investors, will allow individuals, including marginalized and low-income people, to maximize the value of their financial portfolios.

Moreover, when coupled with NLP technologies, even greater democratization can result as inexperienced investors can interact with AI systems in plain English, while providing an easier interface to financial markets than existing execution tools. Open finance technology enables millions of people to use the apps and services that they rely on to manage their financial lives — from overdraft protection, to money management, investing for retirement, or building credit.

More than 8 in 10 Americans are now using digital finance tools powered by open finance. This is because consumers see something they like or want — a new choice, more options, or lower costs. What is open finance? At its core, it is about putting consumers in control of their own data and allowing them to use it to get a better deal. When people can easily switch to another company and bring their financial history with them, that presents real competition to legacy services and forces everyone to improve, with positive results for consumers.

For example, we see the impact this is having on large players being forced to drop overdraft fees or to compete to deliver products consumers want. We see the benefits of open finance first hand at Plaid, as we support thousands of companies, from the biggest fintechs, to startups, to large and small banks. All are building products that depend on one thing - consumers' ability to securely share their data to use different services. Open finance has supported more inclusive, competitive financial systems for consumers and small businesses in the U.

and across the globe — and there is room to do much more. As an example, the National Consumer Law Consumer recently put out a new report that looked at consumers providing access to their bank account data so their rent payments could inform their mortgage underwriting and help build credit.

This is part of the promise of open finance. At Plaid, we believe a consumer should have a right to their own data, and agency over that data, no matter where it sits. This will be essential to securing benefits of open finance for consumers for many years to come. As AWS preps for its annual re:Invent conference, Adam Selipsky talks product strategy, support for hybrid environments, and the value of the cloud in uncertain economic times.

Donna Goodison dgoodison is Protocol's senior reporter focusing on enterprise infrastructure technology, from the 'Big 3' cloud computing providers to data centers. She previously covered the public cloud at CRN after 15 years as a business reporter for the Boston Herald. AWS is gearing up for re:Invent, its annual cloud computing conference where announcements this year are expected to focus on its end-to-end data strategy and delivering new industry-specific services.

Both prongs of that are important. But cost-cutting is a reality for many customers given the worldwide economic turmoil, and AWS has seen an increase in customers looking to control their cloud spending. By the way, they should be doing that all the time. The motivation's just a little bit higher in the current economic situation. This interview has been edited and condensed for clarity. Besides the sheer growth of AWS, what do you think has changed the most while you were at Tableau? Were you surprised by anything?

The number of customers who are now deeply deployed on AWS, deployed in the cloud, in a way that's fundamental to their business and fundamental to their success surprised me. There was a time years ago where there were not that many enterprise CEOs who were well-versed in the cloud. It's not just about deploying technology. The conversation that I most end up having with CEOs is about organizational transformation.

It is about how they can put data at the center of their decision-making in a way that most organizations have never actually done in their history. And it's about using the cloud to innovate more quickly and to drive speed into their organizations. Those are cultural characteristics, not technology characteristics, and those have organizational implications about how they organize and what teams they need to have. It turns out that while the technology is sophisticated, deploying the technology is arguably the lesser challenge compared with how do you mold and shape the organization to best take advantage of all the benefits that the cloud is providing.

How has your experience at Tableau affected AWS and how you think about putting your stamp on AWS? I, personally, have just spent almost five years deeply immersed in the world of data and analytics and business intelligence, and hopefully I learned something during that time about those topics.

I'm able to bring back a real insider's view, if you will, about where that world is heading — data, analytics, databases, machine learning, and how all those things come together, and how you really need to view what's happening with data as an end-to-end story.

It's not about having a point solution for a database or an analytic service, it's really about understanding the flow of data from when it comes into your organization all the way through the other end, where people are collaborating and sharing and making decisions based on that data. AWS has tremendous resources devoted in all these areas. Can you talk about the intersection of data and machine learning and how you see that playing out in the next couple of years?

What we're seeing is three areas really coming together: You've got databases, analytics capabilities, and machine learning, and it's sort of like a Venn diagram with a partial overlap of those three circles.

There are areas of each which are arguably still independent from each other, but there's a very large and a very powerful intersection of the three — to the point where we've actually organized inside of AWS around that and have a single leader for all of those areas to really help bring those together. There's so much data in the world, and the amount of it continues to explode.

We were saying that five years ago, and it's even more true today. The rate of growth is only accelerating. It's a huge opportunity and a huge problem. A lot of people are drowning in their data and don't know how to use it to make decisions. Other organizations have figured out how to use these very powerful technologies to really gain insights rapidly from their data. 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. AWS has more than services now. Have you hit the peak for that or can you sustain that growth?

We're not done building yet, and I don't know when we ever will be. We continue to both release new services because customers need them and they ask us for them and, at the same time, we've put tremendous effort into adding new capabilities inside of the existing services that we've already built. We don't just build a service and move on. 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.

Do customers still want those fundamental building blocks and to piece them together themselves, or do they just want AWS to take care of all that? There's no one-size-fits-all solution to what customers want. It is interesting, and I will say somewhat surprising to me, how much basic capabilities, such as price performance of compute, are still absolutely vital to our customers.

But it's absolutely vital. 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.

We also absolutely have more and more customers who want to interact with AWS at a higher level of abstraction…more at the application layer or broader solutions, and we're putting a lot of energy, a lot of resources, into a number of higher-level solutions. One of the biggest of those … is Amazon Connect, which is our contact center solution.

In minutes or hours or days, you can be up and running with a contact center in the cloud. At the beginning of the pandemic, Barclays … sent all their agents home. In something like 10 days, they got 6, agents up and running on Amazon Connect so they could continue servicing their end customers with customer service. We've built a lot of sophisticated capabilities that are machine learning-based inside of Connect.

We can do call transcription, so that supervisors can help with training agents and services that extract meaning and themes out of those calls. We don't talk about the primitive capabilities that power that, we just talk about the capabilities to transcribe calls and to extract meaning from the calls.

It's really important that we provide solutions for customers at all levels of the stack. Given the economic challenges that customers are facing, how is AWS ensuring that enterprises are getting better returns on their cloud investments?

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 , and we're seeing it again now, which is, the benefits of the cloud only magnify in times of uncertainty. For example, the one thing which many companies do in challenging economic times is to cut capital expense. For most companies, the cloud represents operating expense, not capital expense.

You're not buying servers, you're basically paying per unit of time or unit of storage. That provides tremendous flexibility for many companies who just don't have the CapEx in their budgets to still be able to get important, innovation-driving projects done.

Another huge benefit of the cloud is the flexibility that it provides — the elasticity, the ability to dramatically raise or dramatically shrink the amount of resources that are consumed. You can only imagine if a company was in their own data centers, how hard that would have been to grow that quickly.

The ability to dramatically grow or dramatically shrink your IT spend essentially is a unique feature of the cloud. These kinds of challenging times are exactly when you want to prepare yourself to be the innovators … to reinvigorate and reinvest and drive growth forward again.

We've seen so many customers who have prepared themselves, are using AWS, and then when a challenge hits, are actually able to accelerate because they've got competitors who are not as prepared, or there's a new opportunity that they spot. We see a lot of customers actually leaning into their cloud journeys during these uncertain economic times. Do you still push multi-year contracts, and when there's times like this, do customers have the ability to renegotiate?

Many are rapidly accelerating their journey to the cloud. Some customers are doing some belt-tightening. 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. You do see some discretionary projects which are being not canceled, but pushed out. Every customer is free to make that choice. 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.

We're signing more long-term commitments than ever these days. We provide incredible value for our customers, which is what they care about. That kind of analysis would not be feasible, you wouldn't even be able to do that for most companies, on their own premises. So some of these workloads just become better, become very powerful cost-savings mechanisms, really only possible with advanced analytics that you can run in the cloud. 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.

So, in general, there's significant cost savings by running on AWS, and that's what our customers are focused on. The margins of our business are going to … fluctuate up and down quarter to quarter.

It will depend on what capital projects we've spent on that quarter. Obviously, energy prices are high at the moment, and so there are some quarters that are puts, other quarters there are takes. The important thing for our customers is the value we provide them compared to what they're used to. And those benefits have been dramatic for years, as evidenced by the customers' adoption of AWS and the fact that we're still growing at the rate we are given the size business that we are.

That adoption speaks louder than any other voice. Do you anticipate a higher percentage of customer workloads moving back on premises than you maybe would have three years ago? Absolutely not. We're a big enough business, if you asked me have you ever seen X, I could probably find one of anything, but the absolute dominant trend is customers dramatically accelerating their move to the cloud.

Moving internal enterprise IT workloads like SAP to the cloud, that's a big trend. Creating new analytics capabilities that many times didn't even exist before and running those in the cloud. More startups than ever are building innovative new businesses in AWS. Our public-sector business continues to grow, serving both federal as well as state and local and educational institutions around the world.

It really is still day one. The opportunity is still very much in front of us, very much in front of our customers, and they continue to see that opportunity and to move rapidly to the cloud. In general, when we look across our worldwide customer base, we see time after time that the most innovation and the most efficient cost structure happens when customers choose one provider, when they're running predominantly on AWS. 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.

That being said, many customers are in a hybrid state, where they run IT in different environments. In some cases, that's by choice; in other cases, it's due to acquisitions, like buying companies and inherited technology. We understand and embrace the fact that it's a messy world in IT, and that many of our customers for years are going to have some of their resources on premises, some on AWS.

Some may have resources that run in other clouds. We want to make that entire hybrid environment as easy and as powerful for customers as possible, so we've actually invested and continue to invest very heavily in these hybrid capabilities. A lot of customers are using containerized workloads now, and one of the big container technologies is Kubernetes. We have a managed Kubernetes service, Elastic Kubernetes Service, and we have a … distribution of Kubernetes Amazon EKS Distro that customers can take and run on their own premises and even use to boot up resources in another public cloud and have all that be done in a consistent fashion and be able to observe and manage across all those environments.

So we're very committed to providing hybrid capabilities, including running on premises, including running in other clouds, and making the world as easy and as cost-efficient as possible for customers.

Can you talk about why you brought Dilip Kumar, who was Amazon's vice president of physical retail and tech, into AWS as vice president applications and how that will play out? He's a longtime, tenured Amazonian with many, many different roles — important roles — in the company over a many-year period.

Dilip has come over to AWS to report directly to me, running an applications group. We do have more and more customers who want to interact with the cloud at a higher level — higher up the stack or more on the application layer.

We talked about Connect, our contact center solution, and we've also built services specifically for the healthcare industry like a data lake for healthcare records called Amazon HealthLake. We've built a lot of industrial services like IoT services for industrial settings, for example, to monitor industrial equipment to understand when it needs preventive maintenance.

We have a lot of capabilities we're building that are either for … horizontal use cases like Amazon Connect or industry verticals like automotive, healthcare, financial services. We see more and more demand for those, and Dilip has come in to really coalesce a lot of teams' capabilities, who will be focusing on those areas.

You can expect to see us invest significantly in those areas and to come out with some really exciting innovations. Would that include going into CRM or ERP or other higher-level, run-your-business applications? 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.

It's always been our north star. Correction: This story was updated Nov. Bennett Richardson bennettrich is the president of Protocol. Prior to joining Protocol in , Bennett was executive director of global strategic partnerships at POLITICO, where he led strategic growth efforts including POLITICO's European expansion in Brussels and POLITICO's creative agency POLITICO Focus during his six years with the company. Prior to POLITICO, Bennett was co-founder and CMO of Hinge, the mobile dating company recently acquired by Match Group.

Bennett began his career in digital and social brand marketing working with major brands across tech, energy, and health care at leading marketing and communications agencies including Edelman and GMMB. Bennett is originally from Portland, Maine, and received his bachelor's degree from Colgate University. Prior to joining Protocol in , he worked on the business desk at The New York Times, where he edited the DealBook newsletter and wrote Bits, the weekly tech newsletter.

He has previously worked at MIT Technology Review, Gizmodo, and New Scientist, and has held lectureships at the University of Oxford and Imperial College London. He also holds a doctorate in engineering from the University of Oxford.

We launched Protocol in February to cover the evolving power center of tech. It is with deep sadness that just under three years later, we are winding down the publication. As of today, we will not publish any more stories. All of our newsletters, apart from our flagship, Source Code, will no longer be sent. Source Code will be published and sent for the next few weeks, but it will also close down in December. Building this publication has not been easy; as with any small startup organization, it has often been chaotic.

But it has also been hugely fulfilling for those involved. 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. Today, we thank them deeply for all the work they have done.

We also thank you, our readers, for subscribing to our newsletters and reading our stories. We hope you have enjoyed our work. As companies expand their use of AI beyond running just a few machine learning models, and as larger enterprises go from deploying hundreds of models to thousands and even millions of models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems. 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.

Kate Kaye is an award-winning multimedia reporter digging deep and telling print, digital and audio stories. She covers AI and data for Protocol. Her reporting on AI and tech ethics issues has been published in OneZero, Fast Company, MIT Technology Review, CityLab, Ad Age and Digiday and heard on NPR.

Kate is the creator of RedTailMedia. org and is the author of "Campaign ' A Turning Point for Digital Media," a book about how the presidential campaigns used digital media and data. 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.

And he said that while some MLops systems can manage a larger number of models, they might not have desired features such as robust data visualization capabilities or the ability to work on premises rather than in cloud environments. As companies expand their use of AI beyond running just a few ML models, and as larger enterprises go from deploying hundreds of models to thousands and even millions of models, many machine learning practitioners Protocol interviewed for this story say that they have yet to find what they need from prepackaged MLops systems.

The World of Forex can be a daunting place and the last thing a beginner needs are to be scared off or overwhelmed! Option Alpha boats over , subscribers and has offered great educational resources to Forex traders for over 10 years. The primary focus of Option Alpha is options trading and offers viewers dozens of general trading videos and lessons suited to traders of all experience levels. For traders who are interested in technical analysis and charts as their main tool to find profitable trading opportunities, ClayTrader is a perfect channel to follow.

This account was opened in , has around , subscribers and hosts more than 7, videos. On the channel, traders will find a variety of trading topics, from trading psychology to live trading days. Meir Barak is a trader with more than 17 years of trading experience through which he teaches on Tradenet and posts his trades in his live Trading Room.

Apart from his live day trading videos, there are also trading competitions from time to time. com is a very popular and well-known website and this channel is the YouTube version of the widely popular investing website. With over Akil Stokes is a not only a professional Forex trader but also a trading coach who freely shares educational trading videos on his channel and covers motivational tips and tricks for aspiring entrepreneurs who want to grow their businesses.

His channel was established in and includes not only personal trading podcasts, but also risk management videos and trading lessons on how to become a consistently profitable trader. TopDog Trading was established in and has a subscriber count of over 66, Bloomberg is a mainstream giant and for many traders, Bloomberg.

com has become part of their daily trading routine. Traders will find videos on the channel regarding trending world topics in business, politics, and environments, and much more. Rayner Teo is Singapore-based trader and his YouTube channel has more than The Day trade to Win channel focuses on day trading strategies using pure price-action and the great thing about pure price-action is that it can be successfully applied to multiple financial markets and instruments, including e-minis, currencies, stocks, and commodities.

The Day trade to Win channel has also some scalping strategies covered and claims to be trading the market from the open to noon. Short-term traders will find some interesting content on the channel for sure. Tradeciety was established in and has over The Boiler Room YouTube channel was opened by Connor Pollifrone as a platform to teach healthy trading styles to traders and over time, the channel has grown to more than The Boiler Room is particularly famous for its day trading calls and trading re-caps.

Trading Central Operates in New York, London, Paris, Hong Kong, and Ottawa and is a provider of investment research and market analysis, with an official YouTube channel which offers great market commentary on trending topics as well as analysis on major currency pairs. The Bulls on Wall Street YouTube channel has over Warrior Trading is possibly on of the most longstanding YouTube day trading channels , with more than , subscribers. Warrior Trading is focussed on teaching viewers how to actually make a living by trading stock.

New videos are posted daily, including reviews of real-time trades. The Investors Underground YouTube channel offers traders weekly stock watch lists and game plans plus lessons on various topics related to day trading stocks. Investors Underground boasts more than , subscribers. Read 10 Best Successful Forex Traders in South Africa — Reviewed Tradenet is self-described as a live day trading academy and was started by Meir Barak in Tradenet has taught more than 30, people to become professional traders with a YouTube channel with almost 50, subscribers, which offers daily live videos from Tradenet's Day Trading Room.

The Day Trading Academy YouTube channel is perfect for traders who are into futures trading and this channel focuses mostly on day trading futures with a minor focus on stock trading.

The Day Trading Academy offers traders a lot of videos, including some live trading and live class recordings, plus an introductory series of short videos on getting started in trading. Traders will also have access to interviews with traders as well as up-to-the-minute news monitoring.

Day Trading Academy was founded by Marcello Arrambide and has more than 48, YouTube subscribers. Akil Stokes , a trader and trading coach , has a TierOneTrading YouTube channel which is perfect for traders in the foreign exchange forex market.

The channel has more than 44, subscribers. Andrew Aziz and his team have shared 30 or so videos on the Bear Bull Traders channel , including topics like live trades , each week. The DailyFX EDU YouTube channel offers traders multiple videos on topics like forex basics , trading tips , and setups for Trading Station. DailyFX EDU is the educational division of London-based forex broker Forex Capital Markets , or FXCM , and the YouTube channel has over 5, subscribers.

Finance Illustrated is a new yet popular YouTube channel which provides traders with free resources for traders and investors, including broker reviews and educational videos which covers the basics of trading, including the application of taking profit and stop loss orders in forex trading.

The points of each broker review are split into three categories; the good, the bad and the not good at all. The channel also provides traders with explanations on different ways they can use eToro to trade stocks , cryptocurrencies and forex markets and is also associated with some simulation games and external tools that help beginner traders to trade Stocks , Forex and Bitcoin , like the popular app Trading Game.

This channel, with detailed reviews on brokers and educational material, is worth a follow. The Financial Times is one of the most established and respected financial publications in the world and their YouTube channel is great for both trader and investor.

With more than , subscribers and nearly 59 million views, The Financial Times YouTube channel is one of the most popular and trustworthy channels for markets news and analysis to date. The videos available on the channel is categorized in a similar way to how the articles in their newspaper are, with the stories falling under multiple categories including opinion, world, companies, analysis, and so on.

Individual playlists for each news category are also made available. Chat with Traders is a bit like a talk show and provides commentary from real traders on various markets, hosted by Sydney resident Aaron Fifield, including forex , stocks , futures , options and cryptocurrency.

The Chat with Traders channel has more than 80, subscribers and provides long-form conversations with talented traders, investors and market participants with some focus on regulatory and legal issues within the financial world.

CNBC is a leading media organisations in the US which offers traders decent coverage of financial markets and the YouTube channel has almost , subscribers and over million views, making it extremely popular.

CNBC mostly covers news and analysis on stock markets, companies, and other financial markets and Investors and traders should can make use of this channel to keep updated on fundamental factors which affect financial markets.

And last but not least — a YouTube Channel who deserves an honourable mention :. Read 27 Best Forex Traders to follow on Twitter — Reviewed One of the best websites and search engines on the internet, hands down, is YouTube.

It has very quickly become the go to place to learn or watch just about anything on any imaginable topic. With over one-year worth of videos uploaded every hour, the amount of content and information is truly insane! For us, one of the best ways to learn trading is through videos and watching other successful traders on YouTube videos and this is why we put together this list of the best trading YouTube channels that deserve a follow.

Forex trading may seem like a daunting task for beginners and it can be difficult to source reliable information, and a major portion of information sites charge money too and just like learning about make-up tutorials or cooking techniques it is much easier to follow on video than in pictures or words alone, and trading is absolutely no different.

Most traders have gone the route of paid courses, books, and tools but we definitely recommend YouTube. Many YouTube channels have helped multiple traders become the success stories they have become today. With the internet sky-rocketing, self-education has never been easier and traders can learn any skill that they may require by sitting on their couch by watching YouTube videos.

And for that matter of fact — for FREE. Many traders already love to watch cute cats, fashion tips, and celebrity vlogs on YouTube — why not make use of this resourceful platform for profit as well? YouTube is a powerful medium for beginner traders to learn about forex trading. Here is a list of the 27 Best Forex Trading YouTube channels to follow. Any investment that offers potential profit also has downside risk. When you start trading be prepared to lose money.

For most, the urge to make money tends to overwhelm logic and reason, tricking them into thinking that forex trading is easy. Price and trade data source: JSE Ltd All other statistics calculated by Profile Data. All data is delayed by at least 15 minutes. Telephone number: CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage.

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