Showing posts with label artificial intelligence. Show all posts
Showing posts with label artificial intelligence. Show all posts

Monday, October 14, 2019

Engineer.ai CEO is making millions trading Amazon's cloud

Sachin Dev Duggal, CEO of Engineer.ai looks pretty chipper for a man who works in three time zones simultaneously. After arriving in London from San Francisco at dawn, the entrepreneur attended a meeting for startups at the U.K. Treasury, then he communicated over Slack with his colleagues at a cloud-computing company he manages in Delhi.

Now, ensconced at his usual table in the polished marble brasserie at the Arts Club in London’s Mayfair district, he’s taking a dinner break before he has to hop on a call with investors in California.

Clad in a white T-shirt, jeans, and a hoodie, he looks out of place in a members-only establishment favored by gallery owners and international financiers. But Duggal, a British-born man of Indian descent who built and sold his first company (and made millions) before he was 30, enjoys geeking out amid the Champagne and chatter of the jet set.

Sipping sparkling water as his two smartphones chirp with messages from afar, he warms to his favorite topic: the cloud, or more precisely, how on-demand computing provided by the likes of Amazon has become a burgeoning market in its own right.

His company, Engineer.ai, is one of the top brokers of Amazon Web Services (AWS) in India. “You have to think of the cloud as a financial-service or a monetary instrument and not just as technology,” says Duggal, who turns 35 in April. “It has the capacity, different pricing based on commitments, and it’s becoming a commodity.”

Ever since Seattle-based Amazon leveraged its titanic technology capabilities into a separate cloud-computing business 12 years ago, numerous players have been angling to trade those services in ways similar to how energy brokers buy and sell oil or electricity. They range from global giants, such as IBM and Accenture, to smaller players in specific markets, such as Duggal’s Indian venture.

As cloud computing has grown into a $160 billion global industry in little more than a decade, the so-called cloud-service brokerage market has soared as well. It’s projected to hit $9.5 billion by 2021, more than twice the $4.5 billion in 2016, according to Markets and Markets Research, an Indian research firm.

Every day, traders in New York, London, Singapore, and beyond make a market in what they call “reserved instances,” a phrase that may sound like something science fiction author Philip K. Dick dreamed up but simply means blocks of cloud capacity.

Sachin Dev Duggal and his co-founder, Saurabh Dhoot made a good call by hitching their company to AWS in 2012. Initially dismissed by analysts as a potential misstep, Amazon’s cloud service has become a juggernaut that’s provided Jeff Bezos with a war chest to finance his expansion into new territory, such as the supermarket business and, most recently, health care.

In 2017, AWS generated $4.3 billion in operating income on $17.5 billion in net sales, eclipsing the $2.8 billion in profit produced by Amazon’s core North American online retail division. Comcast, Netflix, and Unilever, as well as NASA and the CIA, all use AWS to handle some of their computing needs. So do countless startups.

With a 34% market share in the fourth quarter, AWS dominates the so-called public cloud, according to Synergy Research Group. Runner-up Microsoft, with its Azure services, has 13%.

Duggal says something bigger is at stake than Amazon’s business fortunes: The advent of cloud computing is spurring entrepreneurship in India and other developing economies by making it far more affordable for small businesses to run software applications and store data.


Read Full Article @ https://tech.economictimes.indiatimes.com/news/corporate/forget-stocks-and-bonds-sachin-duggal-is-making-millions-trading-amazons-cloud/63676503

Thursday, September 26, 2019

Engineer.ai | Human-assisted AI

Ever since the world got introduced to Artificial Intelligence, it has created a storm in the virtual world with its disruptive impact on businesses. With every software developer looking to leverage the technology, the lack of developmental know how, availability of a proper platform to create an end-to-end application and scalable way to develop software products have halted their steps.
In such a situation, Engineer.ai, a human-assisted AI comes in as a savior by making technology accessible to everyone, even those who don’t know how to develop. The startup helps companies build and operate custom-made software by lending an on-demand cloud-based Assembly Line. It recently raised Series A funding of $29.5 million, led by Lakestar and Jungle Ventures.
engineer.ai, engineer ai
The funding round also witnessed the participation from DeepCore — Softbank’s AI-focused investment fund. Talking to Entrepreneur India, the Founder and Chief Wizard of Engineer.ai, Sachin Dev Duggal shared, “We are selling products to our customers that they want to create. Our business model consists of three important pillars: Builder, Builder app insurance called BuilderCare and CloudOps.

Friday, September 20, 2019

Sachin Dev Duggal, SD Squared: Bring your idea to life

At 33, is an innovator exemplar, a multi venture maverick, and a strong advocate of enterprises that create social impact, benefiting the world at large.

With SD Squared, leads Product Innovation, Design & Strategy, while overseeing core executive functions & investments. A team of over 150 come around “Sach” with engineers from tier I engineering institutions and fortune 100 companies, over the last 3 years Sachin has steered a very successful venture in SD Squared with over 300 percent year on year growth.

sachin dev duggal engineer.ai, sachin duggal
In the last few months, his sharp focus has been in next generation path breaking technologies working on Artificial Intelligence, Automation, Advanced Virtual/Mixed Reality Technologies and can often been seen working with the SD Squared Research & Experience center on the Microsoft HoloLens or HTC Vive.

His long term future thinking helps in the company’s innovation to stay ahead of the race and take both short term bets as well as moonshots.

Among his achievements include being awarded the Youth Leader — NCEC of ASSOCHAM, The MIT TR35 Indian Innovator of the Year, The Price Waterhouse Coopers Leader of Tomorrow, Ernst & Young Entrepreneur of the Year Finalist, The BBC Young Asian achiever of the Year, UNEP Global 500 Youth Award among others.

Tuesday, January 16, 2018

Sachin Dev Duggal of Engineer.ai : Top User Acquisition Growth Hacks for Apps :

Shoto and sd2labs recently co-hosted a webinar with RocketSpace where I outlined some of my favorite strategies and user acquisition hacks for apps. I refer to these strategies as the “magic” — or the glue — that increases adoption and promotes long term engagement.

The 3 keys to creating “magic”


Within 50 seconds of downloading an app, users decide to get started or jump ship. The first thing the user sees — whether it’s copy, colors, a splash screen or permissions — is critical to the first impression your app makes and, potentially, its long-term success.

So how do you make “magic” happen? Appeal to the (1) motivation, (2) ability and (3) triggers in the process of adoption (a.k.a. the first 50 seconds).

Let’s break it down:
Motivation = satisfy a need or emotion — the one thing that will blow users’ minds.

We created the following push notification on Shoto to create this motivation: “Your friend X has 50 photos to share with you.” It creates excitement and triggers the user’s brain to release dopamine. WIRED offers a great explanation of the science behind it.

Ability = ease of use — the action users need to take in order to understand why your app is fun and/or useful.

For example, in Venmo, you can send money in two clicks. Straight away, users can use Venmo’s app to send money quickly and easily, establishing its convenience and use case.

Trigger = reach out at the right time/place — choose an action users will be able to take easily.

An easy example is putting running sneakers next to your bed to trigger a run in the morning.

Essentially, your app or technology needs to make sense to your users at the appropriate time and place.

Read More @ https://www.rocketspace.com/tech-startups/author/sachin-dev-duggal