CSDT BLOG

DISCOVER COLLECTIONS AND BLOGS THAT MATCH YOUR INTERESTS.




Share ⇓




What is AI(Artificial Intelligence)?

Bookmark

What is AI(Artificial Intelligence)?

AI technology has moved from science fiction to business fact. To meet today’s challenges and prepare for the future, you need AI solutions that integrate with your infrastructure and data strategy.

Science fiction movies have been warning us for decades that artificial intelligence (AI) is going to rise up and take over the world. As it turns out, those movies were right; AI is poised to take over the world.

More accurately, the organizations that are able to adopt, implement and maintain AI as a part of their business model will have a competitive edge in the marketplace. Fortunately, accomplishing this may be easier than you think.

There are still many people who think of AI as a technology of the future, but the truth is that AI is already here as a part of our daily lives. Tools we take for granted like Siri, Alexa, predictive text, and even certain calendar reminders and GPS functions contain elements of AI. Essentially, AI is likely just an extension of the ways in which you’re already working with analytics to solve your business problems by aligning data and utilizing new capabilities.

In short, AI has already changed the world, and unless you want to be left behind, your organization needs to start planning today for how you’re going to leverage AI in the future. As it happens, getting started is actually quite easy. Taking simple steps towards AI now will position you to readily and confidently make bigger changes down the line.

Graham MackIntosh is a pioneer in the field of advanced analytics, working as an AI consultant for NASA and the SETI Institute. Hear how NASA is using AI to understand solar events, detect failures and expand our understanding of the universe. And discover lessons learned that you can apply to future work involving machine learning and big data.

Marcelo Labre is an executive director and AI evangelist at Morgan Stanley. He discusses the need to break through points of resistance to machine learning by demonstrating the advantages of applying AI to real problems within the financial industry, healthcare, consumer analytics and more.

Why we Learn Full Stack Web Development ?

Bookmark

Why we Learn Full Stack Web Development ?

Full Stack Development Course

Become a Full Stack Developer with CSDT Centre Training Program

Upskill in System Design with specialisation in Full Stack Development. Build real-world projects by mastering React, MERN, JavaScript, etc.

Learn the essential Full Stack development concepts from Industrial Experts.


What is Full Stack Web Development and why is it important to learn?


Full Stack Development is a software profession/stream where a developer deals with both the Frontend (client-side) and Backend (server-side) of a tech product. A Full Stack Developer is proficient in several technologies that help in developing a robust tech product, and thus play a major role in making decisions for the company. It is one of the high-demand jobs in the software industry.


 
What is the job of a Full Stack Developer?

Full-stack developers develop both the front-end and the server-side of the application, deploy, debug and maintain their databases and servers. Being a Full Stack Web Developer, you will be at an edge as you make better technical decisions and see the big picture.


What skills are required to become a Full Stack Developer?

As a Full Stack Developer, you become the jack of all techs, which means you must learn and be proficient in:

HTML, CSS, UI & UX, JavaScript, etc.

Server-side languages such as Java, Python, ASP.NET, PHP, Node.js, Or Golang, etc.

Frameworks Express, Spring Boot, Django, dotnet (.NET), Laravel etc.

Along with an understanding of System Design, Data Structures and Algorithms, Databases, and version control systems like Git. 

167

Our Recent Coment
anita

hello