Humain Podcast

21/12/2022

Until very recently, financial services were notoriously hard and expensive to build. Incumbents and startups alike grappled with extensive regulation, inflexible core systems, complex payment architectures, compliance hurdles, fraud, and more. With the open source movement in fintech, banking has moved from something only traditional banks could offer to something that any company can do. In other words, any company can offer financial services

Financial organizations and even non-financial enterprises are leveraging open source banking software to transform how they worked. Many of these changes can be attributed to growing their organizations, optimizing their profits, enhancing their customer experiences, and creating value for society. Enterprises are increasingly relying on vast open-source communities to build and maintain their products and platforms. It is estimated that 99% of Fortune 500 companies currently use OSS



http://www.humainpodcast.com/finos-apple

19/12/2022

The financial services landscape will be much more competitive in the coming decade. Startups must start thinking about a long-term strategy to build compelling products and services to face this challenge. Multiyear investments are a challenging prospect in a negative macroeconomic environment, but the next decade’s winners will be those who can invest and improve during a down cycle.

This long-term strategy and taking the time to scope out the timelines, budget and talent needed to build the future state will be incredibly valuable to startups. Companies may find that the costs and talent needs are prohibitive, and firms may be better off focusing on relatively niche areas with a moat to defend against compelling competitor ecosystems. Either way, achieving success in the second decade of fintech will be much harder than it was in the first, and companies must start preparing now



https://www.humainpodcast.com/geoffrey-horrell-lseg-apple

13/12/2022

When we think of different industries that have been disrupted around text, around audio, there has been a lot of changes since the 1970s, where there's been success with live transcripts and unique audio filtering technology, but there has not been as much disruption around video.

We start to see collaborations, of course, in design, where Sketch went to Figma online with collaborative design, and we've seen what some video editing, like Frame io and other platforms on that collaboration. But really when we come back to videos and consuming them, the insights are still very 1970s.

Find out more in this HumAIn episode on how AI can revolutionize the way we consume video



https://www.humainpodcast.com/humphrey-chen-apple

09/12/2022

"So especially over the next few years, we’re going to see more technology that really leverages these real world constraints, that thinks about the world as 3D, rather than as pixels. So those things get me very excited. I’m also a bit of a film nerd. So I love how all of these can relate to the entertainment industry, and we’ve seen really cool things happening in motion capture and the ability to kind of scan a person in 3D and then render scenes around them" Stephen Miller, Chief Product Officer, Fyusion on the HumAIn Podcast



https://www.humainpodcast.com/stephen-miller-apple

07/12/2022

Using Graphs makes developers able to not only process data in real-time transactional mode, but being able to use those along with something like graph type analytics, and then use that in conjunction with AI and ML technologies to augment data back into your graph in order to provide a better real-time user experience

Any enterprise build or any consumer service build is really about creating a better, faster and easier to use experience for your customers. Those are really the driving forces behind any kind of business initiative. Graphs is one of those technologies



https://www.humainpodcast.com/dave-bechberger-apple

02/12/2022

Existing automation technologies are great at automating numeric-driven, rule-based functions with linear workflows, but fail to scale to the front office. As content and business processes become more complex, an entirely different set of capabilities is required. That’s where Knowledge Process Automation comes in.

Using human-centric AI to augment revenue operations, KPA combines a suite of technologies that enables knowledge workers to streamline language-based, decision-driven business processes with complex workflows, without ever losing control of the process.



https://www.humainpodcast.com/steve-shillingford-apple

24/11/2022

Hosting a Holiday Drinks event on Thursday, December 1 in NYC. Love to see you there

​Tech Dinner Series (TDS) connects founders, investors, operators & developers over selectively curated and intimate dinner & drink experiences across New York City, Silicon Valley, &...

24/11/2022

Think about TikTok for a moment. The success of TikTok is because of these recommender systems that work really well. But if you think about it, the actual difference between TikTok and every other social media is not the algorithm probably, but it's in how the user experience feeds the algorithm.

So, the fact that you have a single video at every point in time and there's nothing else that distracts you is the perfect way to collect the right data about how much you like the video? How much time do you spend on the video?

So, it's kind of a paradox, because the most important thing of the app is the recommender system. But the reason why that works is not because of the tech, but because of how the UX feeds the tech.



https://www.humainpodcast.com/gianluca-mauro-online

23/11/2022

Machine Learning with R, the tidyverse, and mlr gets you started in machine learning using R Studio and the awesome mlr machine-learning package. This practical guide simplifies theory and avoids needlessly complicated statistics or math.

All core ML techniques are clearly explained through graphics and easy-to-grasp examples. In each engaging chapter, you’ll put a new algorithm into action to solve a quirky predictive analysis problem, including Titanic survival odds, spam email filtering, and poisoned wine investigation

What's inside:

-Using the tidyverse packages to process and plot your data
-Techniques for supervised and unsupervised learning
-Classification, regression, dimension reduction, and clustering algorithms
-Statistics primer to fill gaps in your knowledge



http://www.humainpodcast.com/hefinrhys-apple

22/11/2022

Workforce automation is not optional anymore. It is necessary to meet the needs of the consumer, attract, and retain the right talent. Doing this correctly is a win-win. It will deliver a better customer experience, improved operational productivity, and a more satisfied human workforce

The future workforce will indeed look very different. Yes, some work will shift to the digital worker and some work may completely go away for the human worker. However, for any company to succeed in the future they will need to figure out how to make the combined human and digital worker come together to generate effective business outcomes.

This will require both portions of your workforce (human and digital) to be on a continuous improvement path to the point of being almost self-tuning. The only way that can happen is if the combined workforce is truly working side by side learning from and teaching each other



https://www.humainpodcast.com/sagi-eliyahu-tonkean-Apple

08/11/2022

Digital disruption is changing the way media is funded, produced and consumed. Marketers must lean into the digital transformation and be willing to experiment if they want to stay relevant. There is no doubt that with smartphone data consumption on the path to overtaking fixed broadband across much of the globe and mobile adoption rapidly growing in countries where the technology has not yet reached saturation, the future of media marketing is digital. But while some media companies have been exploring how to adapt and leverage the increasingly digital landscape for the better part of a decade, others are still struggling to land that initial leap



https://www.humainpodcast.com/asra-nadeem-apple