#sachindevduggalengineerai

[emilycarablog]

What is Knowledge Engineering in AI?

Knowledge engineering is one of the building blocks of artificial intelligence (AI). It attempts to emulate the judgment and behavior of a human with expertise in a field or domain. In this lesson, we'll define knowledge engineering and its processes, understand where it fits within the AI landscape, and provide real-world examples of its application.

Imagine an education company wanting to automate the teaching of children in subjects from biology to computer science (requiring to capture the knowledge of teachers and subject matter experts) or Oncologists choosing the best treatment for their patients (requiring expertise and knowledge from information contained in medical journals, textbooks, and drug databases).

Knowledge Engineering is the process of imitating how a human expert in a specific domain would act and take decisions. It looks at the metadata (information about a data object that describes characteristics such as content, quality, and format), structure and processes that are the basis of how a decision is made or conclusion reached. Knowledge engineering attempts to take on challenges and solve problems that would usually require a high level of human expertise to solve. Below Images illustrates the knowledge engineering pipeline.

Read Full Article @ https://study.com/academy/lesson/knowledge-engineering-in-ai-definition-process-examples.html

[kristilouis]

Engineer.ai make technical and creative knowledge accessible to every builder with a dream. This platform creates an assembly line for building and operating the software with the help of AI and a marketplace of teams comprising of people from across the globe.

The business model consists of three important pillars: Builder, Builder app insurance and CloudOps.

[emilycarablog]

Custom Software Built on Assembly Line - Engineer AI

1) The Founders

Sachin Dev Duggal and his college mate Saurav Dhoot. Duggal, a serial entrepreneur, holds an engineering degree from Imperial College, London, and a master's degree in entrepreneurship from MIT. The duo set up their first company Nivio in 2004. They cashed out in 2012 and started SD Squared that finally evolved into Engineer.ai.

2) The Idea

"A decade ago, 'tech' was just a tag, but now, it is a must-have," says Duggal. "However, for millions of SMBs in India and elsewhere, buying expensive software or hiring in-house IT teams is not a viable option. So, we have built tech solutions to turn ideas into products at double the speed and tailored pricing."

3) How It Works

Customers can specify their concepts with the help of a drag-and-drop features menu on a human-assisted and AI-powered cloud platform called Builder. Here applications are developed in an assembly line manner to ensure speed, scale and cost efficiency. Simply put, each project is broken down into building blocks, and up to 60 per cent of the work is done by AI tools and automated processes. As most of the applications have standard features and repeat codes, these are automatically assembled in projects as per requirements and customers only pay for unique coding. The 'custom' part of the work is allocated to domain experts from a network of 50 software firms and 10,000 developers. Support and maintenance are provided for a monthly fee.

The start-up is also into cloud arbitrage and offers CloudOps, an AI-based cloud management platform for businesses to ensure smart usage and cost benefits. Plus, there is a prepaid card for buying cloud storage capacity.

Read Full Article @ https://www.businesstoday.in/magazine/the-buzz/custom-software-built-on-assembly-line/story/278877.html

[emilycarablog]

Sachin Dev Duggal’s email address: [email protected] | Find Sachin’s Email, Social Profiles, and Mutual Contacts both you and Sachin know

[emilycarablog]

Post Budget Reaction by Mr. Sachin Dev Duggal, Founder & Chief Wizard, Engineer.ai

Being a global entrepreneur highly invested in the technology industry, with a zeal for AI, it’s excellent to hear the announcement from Finance Minister Piyush Goyal that India will create a National Centre for AI. Considering the global market for AI is expected at around $190 billion by 2025, this puts Indian companies and organizations at the forefront of capturing the AI market. Well done.

Read Here : https://technuter.com/budget/post-budget-reaction-by-mr-sachin-dev-duggal-founder-chief-wizard-engineer-ai.html

[emilycarablog]

Why & How to Avoid Mistakes Building Your Next Successful MVP - EngineerAI

Has your burning idea been keeping you up at night? Are you restless to create something new and different? What better time than the present to build something

https://blog.engineer.ai/mistake-free-mvp/What is an MVP?

According to Wikipedia, a Minimum Viable Product (MVP) is, “a product with just enough features to satisfy early customers and provide feedback for future product development.” Another site, Techopedia, notes further it’s a, “development technique in which a new product or website is developed with sufficient features to satisfy early adopters. The final, complete set of features is only designed and developed after considering the feedback from the product’s initial users.”

Why release your MVP?

In the lean or agile model of product development, you want a product which your customers can test most importantly. It’s a representation of your brand that’s intended to give users a clear understanding what and how your product benefits their needs. As with any business, if you can help customers solve pain points they face regularly, you’ve found the sweet spot. The result is customer feedback before plunging all of your money into a final product–that may fail or at the very least miss the mark.

Let’s also consider the word minimum. What does it mean in this case? Here, “minimum” means basic or bare bones. You may have heard, “if you launch it and you’re not slightly embarrassed, you’ve launched too late.” And while we don’t completely agree–this is a great point.

Questions to ask yourself through the process

After getting your idea, your rough sketch of your idea in action provides your most basic MVP. But a table napkin MVP doesn’t allow your customers to see your idea in action. Consider the following questions

What’s the essential point of this application?

How does this software benefit my customers?

How do my customers describe this software helping them solve their pain point?

How can you translate their feedback into a revised MVP that you continue to improve on?

Read Full Article @ https://blog.engineer.ai/mistake-free-mvp/

[emilycarablog]

Serial entrepreneur's AI-powered software maker gets $29.5m | Engineer.ai

Engineer.ai describes itself as the "human-assisted AI" that empowers everyone to build and operate bespoke software, raised $29.5 million from venture capital firms Lakestar and Jungle Ventures, and Softbank's DeepCore.

The company has been bootstrapped since its inception in 2012 and now generates $24 million in revenue and operates from offices in Los Angeles, London, Delhi and Tokyo.

"We created Engineer.ai so that everyone can build an idea without learning to code," said founder and 'chief wizard' Sachin Dev Duggal, who has previously worked as CEO of SMX corporation, consultant and adviser with Deutsche Bank and founder and chief wizard of Nivio.

"This investment round validates our approach of making bespoke software effortless. The capital comes at a time of rapid growth and will propel the platform into the mainstream, allowing Builder to open the door for entire categories of companies that could not consider it before."

Launched in January 2018, Engineer.ai has already attracted clients including the BBC, Virgin and Manscore and is targeting annual revenue of $100 million by 2020.

The firm's Builder tool is described as an AI-powered software assembly line that breaks projects into small building blocks of re-usable features.

In simple terms, the company says it delivers high quality bespoke software at "a fraction of the price and time of traditional development".

Read Full Article @ https://www.businesscloud.co.uk/news/serial-entrepreneurs-ai-powered-software-maker-bags-295m

[kristilouis]

What is an Artificial Intelligence (AI) Engineer?

Organizations are discovering the profound impact that artificial intelligence (AI) and machine learning have on their business. Business analytics professionals are evolving their skills to become citizen data scientists, joining forces with traditional data scientists to build machine learning models that provide insight and recommendations about future decisions — decisions that were unfathomable just a few years ago. In order to truly become an AI-driven Enterprise, an organization must embed AI into its applications so that everyone in the organization has access to insight and is empowered to make better, faster decisions.

AI-driven organizations are creating the role of AI engineer and staffing it with people who can perform a hybrid of data engineering, data science, and software development tasks. Unlike data engineers, AI engineers don’t write code to build scalable data pipelines and often don’t compete in Kaggle competitions. Instead, AI engineers extract data efficiently from a variety of sources, build and test their own machine learning models, and deploy those models using either embedded code or API calls to create AI-infused applications.

Read Full @ https://www.datarobot.com/wiki/ai-engineer/