• Fraud Alert: INT. never asks for money for recruitment or empanelment. Verify suspicious communication through official INT. channels. Learn More

Tag: INT PULSE

Data-Driven Culture is Not a Dashboard Project—It’s a Business Imperative

December 19, 2025

Data-Driven Culture is Not a Dashboard Project—It’s a Business Imperative In regulated industries like pharmaceuticals, healthcare, and life sciences, data is no longer just an IT or compliance function; it’s central to how you run your business. And yet, most CXOs have a common complaint: “We have more data than ever… but somehow, we’re making decisions slower, not faster.” That’s not a data volume problem. It’s a design problem. This is the story of how a global life sciences giant turned fragmented, compliance-heavy data into its most trusted decision-making asset by shifting from report building to decision engineering. The Silent Killer is Fragmented, Siloed Data When data sits in silos across ERP, LIMS, QMS, spreadsheets, and tribal knowledge, it does more harm than good. It creates lag. And in high-compliance environments, that lag can be dangerous. Maturity levels: Who can assess my company’s data maturity and roadmap? We’ve seen the real impact: Variance detection takes days, delaying quality intervention Audit prep turns into firefighting, not proactive assurance Manual reconciliation adds errors and stress Leadership decisions rely on lagging reports, not live insights Most enterprises in this space are still running on disjointed reports. What they lack is not software, but alignment, a shared, real-time, reliable view of the truth. The Shift: From Reports to Intelligence This company didn’t try to “fix reporting.” Instead, they asked a sharper question: “What would it take to trust our data as a single source of truth across every level of the organization?” They weren’t chasing dashboards. They were designing a decision architecture, one that enabled: Compliance without the last-minute scramble Leadership decisions powered by live metrics, not monthly PDFs A culture where insight is self-served, not IT-delegated This wasn’t about one more tool. It was a rethinking of how data is ingested, governed, and used, starting from business outcomes, not IT architecture. The Foundation is a regulated-ready, unified data lake. They started with a clear baseline, auditing 20+ data sources from R&D to manufacturing. Instead of forcing structure over chaos, they built a regulated-ready Data Lake, optimized for the hybrid reality (on-prem + cloud). Key choices: Unified ingestion across ERP, LIMS, QMS, manual logs Common metadata models for products, batches, personnel (audit goldmine!) Real-time pipelines with built-in governance and access controls Alignment with regulatory expectations by design, not patchwork Result? Everyone from compliance teams to CXOs worked from one version of truth. No more chasing files across systems. No more reconciliations during audits. Role-Based Intelligence, Built for Speed With the data foundation in place, the focus shifted to how we turn data into daily decisions. The answer wasn’t more reports. It was role-based BI built for how people actually work: CXOs got top-level risk signals and compliance trends Quality heads accessed batch-level quality deviations instantly Plant heads viewed real-time operational efficiency dashboards And none of it needed IT support. With drill-down capability, teams could move from “something’s wrong” to “here’s why” within minutes. And because internal users were trained for self-service, this wasn’t a one-time rollout. It became a culture shift. The Outcomes: Measured in Confidence, Not Just Charts The results speak volumes not just in metrics but in behavior: 47% reduction in reconciliation time 22% faster compliance reporting Audits became walkthroughs, not panic zones Leadership confidence grew, because decisions were data-backed, not gut-based Most importantly, teams stopped treating data as something for compliance; they started using it to run the business. Decision Speed Is the New Competitive Edge The real message here? Regulated industries don’t need better reports; they need decision architecture. Here’s what that means: Align your data strategy to business goals, not tools Build a foundation that’s audit-ready by design Focus on operational agility, not just dashboards Invest in people enablement, not just licenses Because the future belongs to enterprises that can move fast without breaking trust. Our View at INT.: Build Outcomes, Not Just Platforms At INT., we don’t believe in adding more tech layers for the sake of it. We believe in working backward from the outcome: What are the key decisions you need to take? What slows them down? What data, insights, and confidence do you need to take them faster? That’s what we engineer. Whether you’re scaling, undergoing digital transformation, or simply tired of data chaos, know this: the right data foundation doesn’t just save you money. It builds speed. It builds trust. And it builds the kind of leadership that doesn’t flinch during audits or crises. Want to see how this can look for your organization? Let’s have a conversation. Connect INT. and tell us the ONE decision that’s slow and risky in your organization. We’ll show you how to build speed and confidence into that decision, one data layer at a time. Frequently Asked Questions 1. What does “data-driven culture” really mean in regulated industries? A data-driven culture in regulated industries goes beyond dashboards and reports. It means designing data systems that enable faster, compliant, and confident decision-making across the organization—from operations to leadership—using a trusted, real-time single source of truth. 2. Why do organizations with more data often make slower decisions? The problem isn’t data volume—it’s fragmented and siloed data. When information is spread across ERP, LIMS, QMS, spreadsheets, and manual processes, teams spend time reconciling and validating data instead of acting on it. 3. What are the risks of fragmented data in life sciences and healthcare? Fragmented data can lead to: Delayed variance and quality issue detection Stressful, last-minute audit preparation Manual reconciliation errors Leadership decisions based on outdated or incomplete information In regulated environments, these delays can directly impact compliance and patient safety. 4. How is “decision engineering” different from traditional reporting? Traditional reporting focuses on generating reports after the fact. Decision engineering starts with critical business decisions and designs the data architecture, governance, and analytics needed to support those decisions in real time. 5. What is a “single source of truth,” and why is it critical? A single source of truth is a unified, governed data layer that everyone—from compliance

Read More »
INT. News Wrap Banking

Banking & Finance News Wrap | Weekly Snippets September | Indus Net Technologies (INT.)

September 8, 2023

✔️https://newspatrolling.com/research-ranking-launches-indias-ai-driven-financial-mentors-vasu-and-vidya/  Introducing Vasu and Vidya, the new AI-driven financial mentors from the house of Research & Ranking that will transform how individuals perceive and understand various finance-related topics.  ✔️https://www.financialexpress.com/business/digital-transformation-bybit-creates-an-ai-powered-tradegpt-3233264/ TradeGPT is here to transform the trading game with its cutting-edge AI insights and predictive power,  courtesy goes to TradeGPT’ – Your Ultimate AI-Powered Trading Companion. This will generate trading insights and answer technical questions from its market data ✔️https://www.consultancy-me.com/news/6682/emirates-nbd-looks-to-leverage-the-power-of-generative-ai Emirates NBD is harnessing the incredible power of generative AI to shape the banking of tomorrow. This will include leveraging Github Copilot X, and will also have exclusive access to Microsoft 365 Copilot. ✔️https://campaignbriefasia.com/2023/08/31/digibank-indonesia-redefines-smart-banking-with-innovative-ai-powered-campaign-from-nada/ DigiBank Indonesia is rewriting the future of smart banking with a groundbreaking AI-powered campaign, courtesy of NADA. 

Read More »
INT. Pulse

INT. PULSE

June 29, 2023

Dear Colleague, these days, if a tech newsletter does not start with the acronyms AI or ML, it can be safely assumed that its writers are probably living under a rock. Thus, to mask our prehistoric addresses from over 40 thousand monthly readers, we are starting June’s Pulse with an AI story, but there’s a twist. Out With It, Please. Okay, so word on the street is, contrary to the doomsayers, AI and ML seem to be creating new jobs for humans, faster than they are killing employment. No Way! Surpriiise. A good 75% of companies think that they will adopt AI in their businesses soon enough; the great challenge now is to get the staff with the necessary expertise to fill these new jobs. Many human resources folk are also suddenly agreeing that the labour market is being shaken by the demand for new workers in AI-related areas. Where Are These New Jobs? Alright, we will start you off with two.  For instance, AI can create personalised medicinal treatments, precision farming and sophisticated industrial methods. These new products and services can lead to new responsibilities in research, development and marketing, along with new skills and experience requirements.   The emergence of AI-powered digital assistants and smart home appliances has opened up new career prospects for hardware engineers, data analysts and software developers, akin to how autonomous vehicle and drones have opened up new career prospects for engineers, technicians and logistics specialists. Always A Catch While more employment is always cool, AI is expected to make some jobs obsolete too, especially in the content generation area.  This means, pretty soon, as generative AI begins to write this newsletter, you may receive INT. Pulse twice a day instead of once a month, and we will have retired to the Himalayas.  Win-Win  STATS: When Every Analytical Tool Failed Sample this.  On 14th June, Sweden reported unexpectedly high inflation for May, causing economists and all their tech tools to wonder: What on earth kept prices that high? (Side Talk: Dealing with an analytical crisis? Solve it over a  with Dipak Singh, our analytics & AI head honcho). And then it dawned upon them like a Manali sunrise: Beyoncé.  The pop superstar put her Renaissance tour on the road in Stockholm last month, pulling 80,000+ fans to the city over two nights.  Danske Bank finally deciphered that for this influx of concertgoers, hotels and restaurants upped their prices to such a degree, it skyrocketed overall inflation.   Your TakeawayThe fact that one person, by the sheer force of her popularity, was responsible for higher inflation in an entire country is…beyond analytics.  Danske’s chief Swedish economist, Michael Grahn, quoted, “It’s quite astonishing for a single event. We haven’t seen this before.” Well, now we have.  GA4: Underreporting Traffic? No Papa Alright peeps, the Universal Analytics (UA) sun is finally setting and come July, Google Analytics 4 (GA4) is all we have, making migration to this new platform mandatory. But, but, but… with GA4, you may also be saying hello to underreported website traffic. Before you start comparing it to the train wreck some recent Windows upgrades were, we advise you to read on. What Happened Here? Indian proptech giant, Square Yards, usually gets ~70% of its web traffic from mobile devices and the rest from Desktops/tablets. But on switching to GA4, they found a hot-potato drop in traffic stats. On fishing in deeper waters, the folks at SY found that mobile traffic was under-reported by the GA4 tracker. This could also be-happening/happen to you. GA4, Give Me Everything Please So, there’s this important setting in the GA4 Console that allows Google to collect metadata about granular device details of your site and app visitors, so it can provide you with location and device-based info. This is turned OFF by default for any new property being created in the GA Dashboard. 🤷🏻‍♀️ Fix? 1️⃣ Go to your GA4 property settings 2️⃣ Select Data Collection, and 3️⃣ Enable Granular location and device data collection. Aaaand, you’re done. 📌 We are keeping our crawlers active on GA4 stories for a ‘best hacks and tips blurb’ in our July edition. Btw, if you need help with GA4 migration, or perhaps, take GA4 to its optimum limits to power growth for your business, Sanjeeb and his team are all set to help you out. Reach out to Sanjeeb here. AI/ML: How Nvidia Hit A Jackpot Selling Chips We’ve all heard of cashing in your chips post winning big but selling chips to hit a jackpot? That’s a new one and the trophy goes out to hardware giant, Nvidia. How Come? 1️⃣ For starters, you should know Nvidia (USD960B)* is now worth more than: *as on May 27, 2023. 2️⃣ This is the company that started 30 years ago and was for almost all its life, only a video game chip maker. 3️⃣ You should also know that over three decades, Nvidia was on the verge of bankruptcy 3 times. How On Earth Then……? It turns out Nvidia’s GPUs (originally created to improve gaming graphics) are also well suited for the data processing and model training demands of generative AI. Like this analyst said, “Training AI models demands chips that have large memory…Nvidia is the only company making those chips.” The rest is history (in the making). ­Stuff We Are Watching 📌Instant Productivity Boost: You know what’s hot? Bring your own device (BYOD) programs are, as they can potentially save organisations big money on equipment – and they might increase productivity.. but there are flip sides too. 📌 A Funding Tip That Works: CEOs and CFOs looking for funding? Remember, when framing your competition to investors without having to buy them antacids or anti-stress pills, follow this hierarchy of competition, from most worrisome to least. 📌 Are Cookies Dying? In one word? Yes. In fact, we may have only 50-odd weeks left. That’s the estimate for cookie-pocalypse. Educated guesses we gathered from all over indicate that Google will get rid of 3P cookies in Chrome around

Read More »
INT. Pulse

INT. PULSE

May 26, 2023

Dear Colleague, each month, all of us at INT. Marketing dive into a dizzying research gig to write the best opening section of this newsletter (Fyi, Pulse has 35K+ monthly subscribers now 😎). Here’s this month’s winner – the Forrest Gump of tech, aka, Yahoo! And Why Is That? Sample this – Yahoo had a peak dotcom-days valuation of USD125 billion but ultimately – hold our coffees – was sold to Verison for USD4.8 billion in 2016. Here are five 🤯 Yahoo moments: In 1998 Yahoo refused to buy Google for USD1 million. 4 years later, in 2002, Google said it would sell to Yahoo for USD5 billion (but Yahoo only offered USD3 billion, meaning – no deal, sir.) ⏩ to 2006, Yahoo offered USD1 billion for Facebook but Zuckerberg turned it down. Sources said, if Yahoo had increased their bid to USD1.1 billion, Facebook’s board may have pushed for sale, but Yahoo didn’t budge. Come 2008, Microsoft offered to buy Yahoo for USD46 billion, but Yahoo said ‘Noooooo Wayyyyy!’ And finally, in 2013, Yahoo bought Tumblr for USD1.1 billion, writing it down to USD230 million just 3 years later. Psst: Also, instead of Tumblr, it considered buying Netflix for USD4 billion, now worth USD140 billion. STATS: Fastest Finger Hand First In a world where acronyms like DAU and MAU rule the roost, your mother-in-law will tell you that it would be wise to know the number of years it took each of the following to gain 50 million users, per the World of Statistics: Airlines: 68 yearsCars: 62 yearsTelephones: 50 yearsCredit Cards: 28 yearsTV: 22 yearsComputers: 14 yearsThe Internet: 7 yearsPayPal: 5 yearsYouTube: 4 yearsFacebook: 3 yearsTwitter: 2 yearsWeChat: 1 year ChatGPT: A little less than 30 days, and……🏆 PornHub: 19 days AI/ML: How Big Tech Effed Up (Major Time) ­All of us are in the know about tech layoffs, triggered by the arrival of generative AI. However, while dishing out pink slips may have made investors happy, there is another side to the story. Yeah? And What Is That? The AI Trap. Let us explain. As generative AI and coding took off, massive layoffs, led by big tech firms were triggered across the tech world. But, but, but, all these former employees are now going and building serious competition in 1/10th the time it would take biggies to get there. On the other hand, the big guys are perpetually stuck in meeting/webinar hell, arguing over use cases, tech stack, safety, and deployment methods, while solo developers knock the wind out of them, meaning, the long tail of software just grew 100X. Was It Avoidable? Probably not. You see, Covid tailwinds resulted in a huge surplus as people spent more time online and the big boys used that tailwind to hire, expecting never-ending growth. As the Covid winds died down, growth in tech crashed, leaving big tech players bloated, less agile, and ready to walk into the AI trap, with arms wide open. 💡 At INT., we have an agile AI and Advanced Analytics setup that is doing some cool work in the BFSI, Life Sciences and Retail space. Reach out to Dipak Singh to know how you can reduce costs and improve customer acquisition. ☕️ The coffee is on us! BFSI: Fintech Market Correction Is ‘Short Term’ For the last year or so, fintech exuberance has been served a super-strong shot of black coffee, with regulations clamping down hard, valuations dropping by 60% across the sector, and funding drying up by almost 43%, YoY. So, Is Fintech Dying? In one word – NO WAY! Per this BCG-QED report, the fintech growth story is only in its initial stage and is expected to grow to a USD1.5 trillion industry by 2030. Here are some key takeaways from that report. Sit back and get a hold of this. Where Does Fintech Stand Today? Word on the street is that the fintech journey is still at infancy and will continue to disrupt the financial services industry over time. Basis of that belief is; customer experience remains poor and with over 50% of the global population remaining unbanked or underbanked, financial technology (FinTech) is the only means to unlock new use cases, resulting in growth going up by leaps and bounds. Deepak Goyal, MD, BCG, opines that all stakeholders must therefore seize the moment. Regulators need to be proactive and lead from the front. Incumbents should partner with fintechs to accelerate their own digital journeys. APAC To Lead The Fintech Show Asia-Pacific is this big unserviced market, with almost USD4 trillion in financial services revenue pools, and is slated to outpace the US to become the world’s top fintech market by 2030. This growth will be driven primarily by Emerging APAC (e.g. China, India, and Indonesia) at a projected CAGR of 27%. 🔥 What’s Hot & Happening In Fintech? While payments led the last leg, B2B2X and B2b (serving small businesses) will lead the next. B2B2X is made up of B2B2C (enabling other players to better serve consumers), B2B2B (enabling other players to better serve businesses), and financial infrastructure players. The B2B2X market is expected to grow at a 25% CAGR to reach USD440 billion in annual revenues by 2030. 💡 Need to create and implement your B2B2X strategy? Souvik Chaki is your go to person, so feel free. Stuff We Are Watching ­📌 Are Credit Cards Dying? Because from now on, you can get easy credit on UPI as well. Here’s how this disruptive feature can boost the Indian Economy, or turn into a recovery nightmare, depending on who’s reading. 📌 Big Tech Work Cultures: Sample this and guess which company these people hail from – Super thoughtful, similar to Microsoft, platform mindset, but sometimes too slow to act. All Big Tech work cultures, summed up by one observer here… 📌 Why Optimise Code Anymore: Remember the old times when most software installation was done via 1.4 MB floppy disks? With storage space restrictions dead, why should developers optimise code?

Read More »
INT. Pulse

INT Pulse

April 26, 2023

Dear Colleague, there you are at your desk, starting the day with a review of your 80/20 list and suddenly –  upcoming meeting alert – or in other words, the sound of your workday dying.  Fret not, because just like you, your boss hates that sound too.  Nope, we didn’t cook this up ourselves – multiple researches stand by what we’re telling you.   Executives spend an average of 25 hours a week in meetings, yet nearly half of those video calls and project updates could disappear without any negative impact, per a survey of over 10,000 desk workers by Future Forum.   Reluctantly going to noncritical meetings wastes about USD100 million a year at big organisations, according to another survey.  The studies found the top reason why business leaders went to unproductive meetings is that they thought it would be a good use of time, but ultimately wasn’t.  They also attend because they’re afraid to miss something important, and to show their own manager they’re working.   Reminds us of that old saying – ‘this meeting could have been an email’.  Just like the one you are reading now.  AI: Why Google Is Taking It Nice And Easy What You Know The once-a-little-known startup, OpenAI, took on Big G head-on in a fight for the spot as AI’s top dog.  Within just 60 days of its release, ChatGPT amassed 100 million+ users worldwide. Also, since it saw daylight, ChatGPT has passed multiple prestigious graduate-level exams in law and business, even going as far as passing the United States Medical Licensing Exam (USMLE).  On the flip side, Google recently released an ad for Bard (it’s own AI tool) that had incorrect information coming directly from the chatbot, resulting in the loss of over USD100 billion in market value for the tech giant. What You Also Know Even with an unspectacular tech stack, ChatGPT’s decision to offer AI to the masses through the web has revolutionised text generation through automation, having big ramifications on sectors like education, employment, and, particularly relevant to Google, the evolution of online searches.  On the other hand, Google has only allowed some groups to test out Bard before its full public release in the near future.  Plus, Blake Lemoine, an ex Googler, stirred up a storm by publishing a document in which he proposed the possibility of the AI being sentient. (ChatGPT had its share of lobotomy as well, BTW) What You Don’t Know ChatGPT might be winning the AI race for now, but soon Sam Altman will probably have to fly to Washington DC and spend afternoons with an 85-year-old farmer-turned-Senator from Idaho, to explain why his great-granddaughter was suspended from private middle school for using something called “the GPT AI.”  Jokes apart, our resident AI/ML lead, Dipak Singh, is doing some transformational work for enterprises with ChatGPT, Analytics and Artificial Intelligence in general. Reach out to Dipak to explore a solution for your organisation BFSI: Apple Is Ummm, A Bank Now? For all practical considerations, yes.  Let us explain. Sometime back, Apple drove an armoured cash van through the American banking industry.  Yeah?  True. While the average bank is paying less than 0.5% on savings accounts, the USD2.6 trillion tech giant announced it would dish out 4.15% (that’s 10X the national average) annual returns to savers. This, when regional American banks are balking in the wake of the Silicon Valley Bank crisis to maintain their deposit bases, and cash-starved fintech startups are gasping for breath.  Is It A Gravity Game Changer? Pretty much. Per Forbes, “as trust in traditional banks falters, the two most iconic names in tech and finance are joining together to create what might become America’s mightiest FinTech.”  Clarification on the other iconic name – since Apple does not have a banking license, it has teamed up with Goldman Sachs Bank, USA.  In pure fintech jargon, Apple is now a neobank like Jupiter and Fi Money – except its ginormous brand strength, with over two billion iPhones globally, is now serving as Goldman’s branch network.  At 4.5%, Where Are The Profits? Apple’s 10X returns savings account is less about profits than it is about bringing more iPhone owners under Apple and Goldman’s financial umbrella.  While two billion people around the world own Apple devices, fewer than 10% are Apple Card users, meaning there is a megatron* market opportunity waiting to be tapped already.  Net earnings from interest margins may not be Goldman’s priority either.   Profits or no profits, the iPhone user is certainly not complaining.  *megatron is a myth, but it sounds so cool, we used it for effect.  Pharma: Unable To Pear The Loss Pharma technology pioneers, here’s a reality check – one that is brought to you, courtesy, insurance companies.  What The Eff? Yes, Pear Therapeutics, creator of 3 FDA-cleared prescription apps to help treat substance use disorder and insomnia, just announced that it is, err, bankrupt, as the tech startup struggled to get insurers to pay for its technology.  Btw, we are talking about America here.  While doctors were willing to prescribe digital therapeutics and patients were willing to use them, “that isn’t enough,” Pear’s CEO Corey McCann wrote in this LinkedIn post.  “Payors have the ability to deny payment for therapies that are clinically necessary, effective, and cost-saving.” What made Pear special? Clinical robustness: Through high quality clinical trials, Pear demonstrated enhanced patient outcomes in substance use disorder and insomnia. Regulatory blessing: One of the earliest to get US-FDA approval, Pear saw 10,000+ prescriptions written for its digital solution. Investor enthusiasm: Pear raised USD300M in equity, USD100M in debt and went public last year with a valuation of USD1B+. Key Takeaway? Per Tushar Sadhu on LinkedIn, “external capital comes with its powers and responsibilities. Unrealistic valuation and pre-mature IPO undid the good work the company had done in product creation.”  Stuff We Are Watching  GoI’s Chatbot Plan: The Government of India is working to create a multilingual ChatGPT-like chatbot helpline that can be used to manage grievances of disgruntled consumers.   USD100,000 Saved by AI: ChatGPT use cases now run into millions, populating every nook and corner of social timelines, but how does

Read More »
INT. Pulse

SNBL

March 22, 2023

As the whole world is going bananas over BNPL (buy now, pay later), Africa has dropped a new fintech model on its shoppers. And it’s something so cool, you’ve never heard of it – SNBL, aka, save now, buy later. While BNPL has skyrocketed worldwide and given us juggernauts like Klarna, this arm of fintech is facing backlash too, with many realising it encourages overspending and can lead to nasty debt traps. The wise are also asking if it’s commercially sustainable, as Klarna saw its valuation cut 85% from USD46B to USD7B. Save now, pay later is like an upfront answer to that. SNBL providers across emerging markets reiterate that the model is better aligned with existing cultural practices and furthers consumers’ long-term financial health. African fintech investors are believing the story wholeheartedly too. Let’s try saying this aloud – ‘Flipkart save now, buy later.’ ✅ Sounds like a million bucks already. AI/ML: When A Monkey Took A Selfie From horses to automobiles, postcards to emails, or even film to digicams, there’s a long history of backlash towards emerging technologies. As exhibited by the image above, when cinema introduced audio, people asked: “But what will happen to the orchestra?” The obvious worry was that the orchestra that played alongside silent films would be out of a job. Though the concern was valid, ultimately, the introduction of sound into movies dramatically expanded the music industry, increasing net employment many times over. Also, jobs like Sound Editor and Sound Mixer emerged out of empty auditorium seats. As generative AI reinvents industries (yes, some jobs will be replaced), it’s worth remembering past reactions to new technologies, and that the pie has often grown larger, albeit in ways we cannot foresee when we are in the moment. 💡 The design world vehemently opposed photoshop when it dropped. Of course photoshop has its downsides, but it also ushered in a new era of visual expression and spawned millions of jobs worldwide. 🙈 Also note that you can’t copyright AI art (you may be infringing when you create AI art though), meaning when a monkey took a selfie, AI art lost the battle before it even started. BFSI: The Safest Bank In The World Before your thoughts start running away to things like ‘mattress’, ‘underground’, or even ‘false ceiling’, please consider this. Many years ago, a startup called Narrow Bank, cooked up a business model of just taking deposits and holding 100% of them in Federal Reserves. The plan was simple. It would basically make Narrow the safest possible bank. But sadly, they were never granted a Fed Account or even access to their electronic payment services. The Narrow Bank even went to court over it and lost. What’s Wrong With Super Safety? 🤔 If one bank is “too safe”, it can suck deposits out of the whole system towards itself, meaning most of the current two-tier banking system wouldn’t make sense, if that full-reserve bank existed. Moral Of The Story: Regulators ironically want banks to be safe, but for none to be too safe. 🔔 If you’re a professional making banking ‘safer’ with technology, Souvik is always around to help you explore and deploy the best-fit tech stack for your BFS system. Reach him here. . . ­Pharma: GPT4 And Drug Discovery Drug discovery is an incredibly complex process. Zeroing in on a target molecule, testing each compound for value and toxicity, and then modifying the molecules appropriately for clinical trials are the general steps involved. As a result, it often takes years to find a viable chemical using this ‘hit to lead’ method. Then There’s GPT4 Toying With It Simply give it a currently available drug and it can: Find compounds with similar properties Modify them to make sure they’re not patented Purchase them from a supplier (includes sending an email automatically with a purchase order). Here’s the complete paper for your perusal. ✋ If you need to know more about how data, analytics, ML and AI can augment your pharma business (we understand there’s much more to it than discovering drugs using AI), get in touch with Dipak, our lead data scientist. Stuff We Are Watching 📌 Overdue Diligence: Please spare a thought for the Saudi National Bank, because just a couple of months back, they invested USD1.5 billion in Credit Suisse to pick up a 10% stake. Today the same stake is valued at ~ 🥜🥜, a total write off in a matter of weeks. 📌 Expensive Errors: Beyond the human cost of healthcare medication errors, the WHO estimates the global cost to be USD42 billion annually. Per this study, 8 out of 10 healthcare tech professionals are willing to increase spends to minimise preventable medical errors. 📌 The Coolest Tech Billionaire: Meet Mark Leonard, the founder and CEO of Constellation Software – a company like none other. Why? Because since its debut at USD70 million at the Toronto Stock Exchange, the company has increased in value by ~ 70,000% 🚀­🙋🏻‍♀️ Before we wrap up the March edition of Pulse, here’s a conversation we overheard on social. Chappie #1 – Instagram is dead. In the next 3 – 5 years, every single image on social media will be generated by AI. And here is the kicker: It will be impossible to tell fake from reality. Chappie #2 – Instagram is the kingdom of fake. Care to elaborate how better fakes represent a danger to the business model? Party Crasher Elon – These days, if it looks shoddy and fake, it’s probably real. 🤷🏻‍♀️ 💡 Simply hit reply to this email and get instantly connected to a team of 850+ experts to start any kind of conversation, or to be featured in this monthly newsletter – read by over 22,000 professionals like yourself. See you in April. Cheers! Team INT.

Read More »
MENU
Book a Free Consultation
CONTACT US

Let’s connect!

Loading form…

Book a Free Consultation
Almost there!

Download the report

    Privacy Policy.

    Book a Free Consultation