1. SPORTS
# AI Only Just Beginning to Revolutionise the NBA Game
It’s not a scene out of the future, but a reality on the hard courts of today.
Using artificial intelligence, a top basketball team found the right defensive strategy that made the difference to win the NBA championship.
Data specialist Rajiv Maheswaran declines to name the outfit that leveraged AI analysis to victory, saying in a corporate video only that it happened several years ago.
That was “the moment that sealed it,” added the co-founder of tech startup Second Spectrum, which provides the league with swathes of player positioning data gathered during crucial games.
Analytics have transformed the NBA over the past decade, with AI and other breakthroughs still ramping up.
Embryonic in the early 2000s, the revolution truly took hold with motion-capture cameras installed in every venue in 2013.
Ten years later, new tech upgraded renderings of the court from 2D to 3D, unlocking even more precious data.
Each player wears 29 markers “so you know not just where they are, but you know where their elbow is, and you know where their knee is,” said Ben Alamar, a sports analytics writer and consultant.
“You’re actually able to see, yes, that was a high quality (defensive) closeout,” said Tom Ryan, head of Basketball Research and Development at the NBA, describing an often-used manouvre.
“It’s adding more context to that metric.”
“Now all 30 teams are doing significant analysis with varying levels of success,” said Alamar.
Houston, Golden State and Oklahoma City were often cited among early adopters at the turn of the 2010s.
This season, Oklahoma City is on top of regular season standings, “and they play different,” said ESPN Analytics Group founder Dean Oliver.
“They force turnovers, and they have very few turnovers themselves. So there are definitely advantages to be gained.”
“It’s not going to turn a 25-win team into a 70-win team during the season, but it can turn a 50-win team into a 55, 56-win team,” according to Alamar.
AI allows for “strategic insights” like “understanding matchups, finding the situations where players perform well, what combinations of players,” he added.
None of the dozen teams contacted by AFP agreed to discuss their work on analytics.
“Teams are (understandably) secretive,” Oliver confirmed.
Even before 3D, motion capture data was already shifting the game, taking basketball from a more controlled pace to something looser and faster, he added.
The data showed that faster play secures more open looks and a higher percentage of shots — a development that some criticise.
On average, three-point shot attempts have doubled over the last 15 years.
“As a league now, we look deep into analytics,” Milwaukee point guard Damian Lillard noted at February’s All-Star Game.
While it perhaps “takes away the originality of the game… you’ve got to get in line with what’s working to win.”
The league is taking the issue seriously enough that Commissioner Adam Silver recently mentioned that “some adjustments” could be made to address it.
Even now, AI has “plenty of upside” yet to emerge, said Oliver.
“The data is massive, but converting that into information, into knowledge that can be conveyed to players, that they can absorb, all of those steps are yet to be done.”
The league itself is pursuing several analytics and AI projects, including for real-time refereeing.
“The ROI (return on investment) is very clear,” said Ryan. “It’s about getting more calls right, faster and in a transparent way to our fans.”
“We would love a world where if a ball goes out of bounds and you’re not sure who it went off of, rather than going to replay you look at high frame rate video in real time with 99.9 percent accuracy… That’s really our North Star.”
Spatial data can also extend the fan experience, shown off during the recent “Dunk the Halls” Christmas game between San Antonio and New York.
An alternative telecast rendered the game in video game-style real-time display, with avatars replacing live action images.
“We want to experiment with all different types of immersive media,” says Ryan. “We just want to be able to sell our game and present it in compelling ways.”
(Source: International Business Times – By Thomas Urbain – 10th April, 2025)
2. TECHNOLOGY
# How Atlas is using AI to turn accounts receivable into a strategic advantage
Despite the rapid advancements in financial technology, accounts receivable (AR) remains a starkly inefficient workflow, with many companies still relying on manual, error-prone processes to manage their contract-to-invoice and invoice-to-cash cycles.
As a result, finance teams struggle with data entry mistakes, delayed invoice reconciliation, and slow payment cycles, leading to unnecessary cash flow bottlenecks. They also lack sufficient real-time insights, which forces them to take a reactive rather than proactive approach to financial management — consequently making it difficult to anticipate late payments or assess a client’s ability to pay on time.
Recognizing these gaps in the market, Joe Zhou saw an opportunity to modernize AR using artificial intelligence. He’s the co-founder and CTO of Atlas, a proprietary automation system that’s redefining AR through agentic solutions and automation of contract-to-cash cycles. In doing so, Atlas is empowering businesses to save valuable finance time for finance leaders and increase cash-on-hand, fuelling business growth.
JOE ZHOU: A BACKGROUND OF EXCELLENCE
After graduating from the University of Pennsylvania with degrees in computer science, data science, and mathematics, Zhou started his career at industry-leading companies like Google and Snap. There, he led high-impact projects that improved user engagement and product performance for billions of users globally.
One of his biggest projects was with Snap, where he introduced an augmented reality engagement funnel designed to improve the user feedback loop and increase the adoption of Snapchat’s viral augmented reality (AR) lenses. Zhou’s team managed to achieve a 25% global increase in AR usage — the brand’s largest jump in six years.
Zhou also spent time at Intuit, working on QuickBooks and Mint transaction categorization. There, he saw how a lack of real-time insights into payment risks forced businesses into reactive financial management. Simultaneously, they had to handle a vast amount of financial data from diverse sources without robust systems of categorization and classification in place.
He realised that traditional AR systems, while accepted as the industry standard, didn’t measure up to the demands of modern business. It was this realization that formed the basis of Atlas.
AI-POWERED AUTOMATION: A SMARTER APPROACH TO ACCOUNTS RECEIVABLE
Atlas is an AI-powered AR automation platform that eliminates manual data entry errors, enables faster invoicing and reconciliation, gives finance leaders a source of truth for revenue, and increases cash on hand. The end goal is simple: Atlas is designed to get businesses paid.
It works by seamlessly integrating emerging tech like natural language processing, machine learning, various frontier models and predictive analytics to automate every stage of the AR workflow and save finance teams time, resources, and stress. For example, it can scan a contract and automatically generate a detailed, accurate invoice that you can quickly review and send.
Key to this approach is Atlas’ continuous learning model: The more invoices and contract data the system processes, the smarter it becomes.
One of its strongest benefits is that it plugs and plays with existing enterprise resource planning (ERP) systems like NetSuite, SAP, and Microsoft Dynamics. It also connects to Slack, email, and your CRM so that you can centralize customer communications and manage them easily. Atlas eliminates the need for manual invoice matching, accelerating cash flow and saving teams time and resources.
The result is a unified, AI-first approach that makes it easy to deploy and maintain highly configurable workflows for different industries.
THE IMPACT OF AI-DRIVEN AR ON FINANCE TEAMS
Businesses are already embracing Atlas and seeing powerful results, with customers leveraging it to eliminate manual invoice matching and free their teams to focus on other tasks. They’re also seeing accelerated cash flow, sometimes by days or even weeks.
“We are reshaping the $125 trillion B2B payments market and helping free up $3 trillion in annual locked cash flow that hinders global growth as a result of antiquated payment systems,” Zhou notes.
After implementing Atlas, one startup experienced a 43% reduction in days sales outstanding (meaning they were able to collect payments significantly faster) as their spreadsheet usage dropped by 71%.
“Atlas is about freeing teams from busywork so they can focus on real growth,” Zhou says.
“Innovating in AI isn’t about just increasing efficiency — it’s about enabling resource reallocations to focus on creative and strategic thinking.”
With Atlas, Joe Zhou has successfully found a way to consistently eliminate human errors and delays in payment cycles — allowing businesses trapped in outdated processes to finally reach their full potential.
(Source: International Business Times – By Chris Gallagher – 22nd April, 2025)
3. OTHER – CRYPTO
# Bitcoin, Altcoins pump after Federal Reserve Board withdraws Crypto notification rules for banks
KEY POINTS
- The board rescinded two supervisory letters and a third one jointly issued with the FDIC and Comptroller of the Currency
- Bitcoin traded above $94,000 at one point in the night, and all other top altcoins were in the green
- Some crypto users are concerned the move may result in short-term “uncertainty” among banks
Bitcoin and other major cryptocurrencies climbed Thursday night after the Federal Reserve Board (FRB) announced that guidance for banks related to crypto and stablecoin activities was being withdrawn.
The move comes just weeks after the Federal Deposit Insurance Corporation (FDIC) made a similar announcement, giving more leeway for banks across the country to engage with the crypto industry.
FBR opens a path for crypto and banking activities
The Federal Reserve Board said Thursday that it was rescinding three supervisory letters that played a major role in stunted adoption of crypto offerings among American banks and financial institutions.
“The Board is rescinding its 2022 supervisory letter establishing an expectation that state member banks provide advance notification of planned or current crypto-asset activities. As a result, the Board will no longer expect banks to provide notification and will instead monitor banks’ crypto-asset activities through the normal supervisory process,” the board said.
It also rescinded a 2023 supervisory letter “regarding the supervisory non objection process for state member bank engagement in dollar token activities.”
Finally, the FRB announced it was withdrawing two jointly issued statements with the FDIC and the Office of the Comptroller of the Currency that limited banks’ exposure to cryptocurrencies.
It also expressed commitment toward collaborating with other regulatory agencies to consider the possibility of providing further guidance that “support innovation, including crypto-asset activities.”
CRYPTO BOUNCES AMID THE FEDERAL RESERVE’S PIVOT
Following the announcement, crypto prices surged, signalling the market’s positive reaction to the news.
Bitcoin was up 1.2% in the day, climbing above $94,000 at one point before settling in at around $93,500.
Ethereum also saw a slight pump, increasing 0.4% in the day, and XRP was up 1.4% in the last 24 hours.
All other altcoins on Coin Gecko’s Top 10 largest crypto assets by market cap were in the green, with Cardano (ADA) leading the day’s rally (5.2% up).
QUESTIONS RISE OVER FRB’S MOVE
While many in the crypto community were ecstatic over the news, some crypto users raised questions on the short-term impact of the decision.
One user pointed out that the long-term effects may result in a more structured playbook under new legislation or unified regulation, but the short-term impact may produce “more uncertainty.”
The user argued that without formal guidance and only rescinded supervisory notices, “banks may be unsure what is or isn’t allowed.”
One user asked AI chatbot Grok on whether banks can now “just buy what they want,” to which the popular AI assistant responded that the announcement may have “relaxed” some crypto guidance but banks are still required to follow general regulations.
Uncertainty and a lack of clear rules of the road have hampered growth and adoption in crypto, but U.S. Securities and Exchange Commission Chair Paul Atkins has vowed it will be his administration’s priority.
(Source: International Business Times – By Marvie Basilan – 25th April, 2025)