Sachin Dev Duggal Engineer.ai Delivers Winning Pitch

Sachin Dev Duggal Engineer.ai, explains the broken system of software development that Builder is disrupting and ultimately drastically improving. Sachin Dev Duggal explains the growth of Builder in delivering successful bespoke software projects globally.

Sachin Dev Duggal Engineer.ai

Sachin Dev Duggal Engineer.ai explains the broken system of software development that Builder is disrupting and ultimately drastically improving.

Here, Sachin Duggal explains the growth of Builder in delivering successful bespoke software projects globally. He even guides you through the simple process of creating a bespoke software product using BuilderStudio.

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Sachin Dev Duggal Engineer AI Can Build E-Commerce and Delivery Apps in Eight Weeks

Engineer.ai, a no-code software development platform that lets people build software without ever needing to understand technology, today announced that it’s launching The Studio Store, a new range of pre-packaged apps – beginning with e-commerce and delivery – designed to bring businesses online faster and at a fraction of the cost of building from scratch. As COVID-19 heavily impacts small and medium-sized businesses (SMBs), Engineer.ai will help all SMBs build their e-commerce or local delivery app with The Studio Store and provide the first three months of live service for free. This launch is part of Engineer.ai larger mission to make the process of building a digital future more accessible, cost effective and efficient.

Sachin Dev Duggal Engineer AI

“Businesses need to adapt to survive. Customers now expect to communicate with businesses via digital channels – whether it’s through an app or a website. However, while businesses recognize this, a lack of skills, coding or technical knowledge has traditionally been a barrier,” said co-founder and CEO Sachin Dev Duggal Engineer.ai. “At Engineer.ai, we make it as easy and as affordable as possible for businesses to amplify their digital presence.”

The first apps will serve the specific needs of businesses across e-commerce and delivery – such as flower shops, grocery stores and clothiers – and can be delivered to a customer in less than eight weeks. The e-commerce app makes selling to an ever-mobile customer effortless, and retailers can showcase their goods with a scrollable carousel and offer a wide range of secure payment methods. The app includes features that will handle the soup to nuts of most e-commerce experiences, the aftercare to keep the app working and the cloud needed to run the app and scale the business. The delivery app makes online distribution smooth and simple with features including payment integration, in-app notifications and FedEx integration. The Studio Store can also serve as a stepping-stone as customers can add features from Builder Studio to make their app more customized over time.

Due to the impact of COVID-19, Engineer.ai will help SMBs with e-commerce or delivery needs build their Studio Store app and provide the first three months of live service for free. This offer will remain available for the next three months.

Sachin Dev Duggal Engineer AI continued, “We are seeing a disruption across all industries globally by COVID-19, and the way many of us interact with our customers overnight has stopped, changed or morphed. Among those most vulnerable are the smaller businesses without an online presence that depend on their customers to walk through their doors. Although there is a lot of uncertainty right now, SMBs are presented with an opportunity to rethink how they do business. Having a thoughtful digital presence for businesses will be critical, which is why we are offering this assistance to all SMBs so that they can use this time to leapfrog ahead.”

Read full story @ https://www.cxotoday.com/press-release/smbs-can-build-e-commerce-and-delivery-apps-in-eight-weeks/

Sachin Dev Duggal Engineer.ai launches Builder Now platform

Builder.ai (formerly known as Engineer.ai) combines AI with crowdsourced teams of designers and developers to build bespoke digital products faster that it would take to create a team. That’s what Sachin Dev Duggal Engineer AI says. Last year the company raised one of Europe’s largest Series A investments at $29.5 million, led by Lakestar and Jungle Ventures, with participation from SoftBank’s DeepCore. So far it’s been used to create products like BBC, DiditFor, Manscore and ZikTruck.

Now, while it’s pretty common to have platforms claiming to build your apps faster than a team, actually experiencing it in real life makes a huge difference. So when I swung by the Builder.ai booth at the Slush conference last Friday, I was a lot more impressed than I thought I would be.''

At the conference, the company launched Builder Now, an instant prototyping tool that helps anyone design an app in as little as 10 minutes. I honestly did not believe it was possible until I saw it. But, to build an MVP, or even a more sophisticated app, it’s far faster than I could have imagined.

Read full article @ https://techcrunch.com/2019/11/25/engineer-ai-launches-its-builder-now-platform-for-rapid-app-prototyping-and-building/

Engineer AI To Transform Healthcare : Preparing For Another Pandemic

Artificial Intelligence has risen to a level of universality. Humans have managed to engineer AI that can achieve a vast array of possibilities - from the field of robotics, to cybersecurity – professionals engineer AI to be used in various systems, for a better, more effortless functionality. Artificial intelligence has been used to alleviate cumbersome activities that have been traditionally done through low skilled labour. One of the most rapid growth, is within the field of healthcare – especially now, as the globe is experiencing a crunch in manpower because of the coronavirus (Covid-19) epidemic.

Engineering AI For A Better Pandemic Response

Within the field of AI, we have been able to engineer better machines, expediting the field towards advancement in the process. By 2030, the field of Artificial Intelligence and Machine Learning will have permeated every industry currently in existence. Healthcare is the most obvious example in this regard. Scientists have been able to engineer AI algorithms, which have accomplished everything from creating medicines (like antibiotics), to performing human-assisted surgeries, and providing full-body analysis, just to name a few.

Putting the existing threat of the coronavirus into picture, Artificial Intelligence has achieved in a span of three months, what humans couldn’t in a generation. Rapid scanning of patients, especially who harbour contagious pathogens, can be safely tackled with Robot Doctors (as they have come to be known). Scientists in China managed to engineer AI paramedics that can provide a descriptive analysis of the patient’s physiology in no time.

These AI are not limited to scanning, they can also proficient in creating potent medicines – ones which a team of humans can spend up to 10 years researching towards. Scientists are banking on engineering AI that will bring about the cure for Covid-19, embarrassingly faster, than it would take a human to do.

All in all, having a remote robot deal with a patient during an outbreak such as the coronavirus of 2020, is much more feasible (not to mention safer), than for a human being performing the same functionality.

Artificial Intelligence Infrastructure

For all the leaps forward we have taken to Engineer Artificial Intelligence within healthcare, the reluctance to implement these systems supersedes any viable implementation it might possess. A lot of the countries affected by the novel coronavirus pandemic just don’t have the monetary fortitude to support such a leap in technological infrastructure.

Every penny that went into the provision of a Covid-19 testing kit could’ve easily gone to fund an AI-based pandemic response squad beforehand. Nearly 11,000 people have succumbed to this horrid disease, but it’s not too late yet. Nation-states can lend their coin to engineer AI bots, in a joint cloud based race to find the cure that mankind so desperately seeks. The answer might be beyond the realm of humans, but is it beyond a machine? If we never try, we’ll never know!