Connect with us

Technology

The Future of Collaboration in the Artificial Intelligence Era

Published

on

The Future of Collaboration in the Artificial Intelligence Era

The Future of Collaboration in the Artificial Intelligence Era

How humans collaborate with one another has been closely linked to technological progress.

Before the invention of the telephone, we had to be in the same room to communicate in real-time – and prior to the internet, we had to be in the same building to share our designs, new ideas, or other documents.

Collaboration has always been a moving target, and in modern times we shouldn’t be surprised that new technological innovations are again shifting how humans work and coordinate together.

The New Collaboration Cycle

Today’s infographic comes to us from Schneider Electric, and it shows that humans are no longer making things using a linear approach.

Instead, modern collaboration is a cyclical process with no defined start or end points – and it often involves more users and stakeholders, continuous access, and an increasingly decentralized workforce.

The 24/7 Knowledge Factory

All around the world, the way that teams work together is changing.

Instead of always being centralized at a local level, teams are adding talent from around the world who bring diverse perspectives and new ideas to the table.

The modern organization never sleeps – it has people from different countries, time zones, and cultures all working together to create new designs or products simultaneously.

Collaboration on projects is happening in real-time, at all times of the day, and this has several benefits. It brings together a broader range of skills and perspectives, makes teams more customer-centric, reduces errors and wasted money, and enhances both decision-making and product development cycles.

Working Together is Changing

How are teams collaborating 24/7 in real-time from locations around the world?

VR/AR
Designers, engineers, and other team members can collaborate in parallel, using mixed reality as a common medium.

Collaborative Intelligence (AI)
Multi-agent, distributed systems where each agent, human or machine, is uniquely positioned, with autonomy to contribute to a problem-solving network.

Advanced Modelling (3D and 4D printing)
Design and manufacturing can be integrated seamlessly, even to customize individual items. 4d printing (fourth dimension: movement) is a new frontier where printed objects adapt to various circumstances.

Crowd-based Collaboration
Design is no longer siloed and can be democratized between different stakeholders. Further, teams can work simultaneously from all over the world.

Computer Supported Collaborative Design (CSCD)
The synchronous sharing of information and interaction with ideas, in an AI-driven, data-intensive environment. Here, problem solving, data and service “agents” support, or replace, labor intensive work and possibly the human traits of intuition and decisi, as well.n making.

The Next Wave

How humans work together is changing, but also shifting is how humans and AI will collaborate together.

The new technological landscape creates many questions and uncertainties for companies today:

  • Will new “collaborative” technologies really change how we engage, and innovate with, our colleagues?
  • Will a hyper-networked, always-engaged global collaborative environment create “too many cooks in the kitchen”?
  • With more opportunity to get involved in processes, how does the role of the end-customer change?
  • Will traditional design and implementation switch to being more service-based, as time goes on?
Click for Comments

Technology

What Would $5,000 Invested in Nvidia Be Worth Today?

Small fortunes have been made for those investing in Nvidia stock. But how much would have they earned if they bought before it skyrocketed?

Published

on

What Would $5,000 Invested in Nvidia Be Worth Today?

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Investing in Nvidia has been highly lucrative, especially for investors who got in early.

As America’s largest chipmaker, its stock price has soared given its critical role in powering AI. Last year alone, its share price jumped 272%, vaulting it into becoming one of the world’s most valuable companies.

This graphic shows how much a $5,000 investment in Nvidia would have grown over time, based on data from Yahoo Finance.

Investing in Nvidia Before the AI Boom

Below, we show how much an investment in Nvidia would have increased in value over the last several decades:

Year Invested (January 1st)Stock PriceStarting ValueValue Today (as of Feb 15, 2024)
2000$0.77$5,000$4,718,052
2010$3.85$5,000$943,610
2015$4.80$5,000$756,854
2020$59.11$5,000$61,460
2023$195.37$5,000$18,595

For those who bought in 2000, a $5,000 investment would be worth over $4.7 million today, with Nvidia’s stock price rising 94,261% over the time period.

At the time, Nvidia had just invented its graphics processing unit (GPU), which allowed computer graphics to render more seamlessly in video games and video editing. These high-performance units complete complex computing tasks, and Nvidia was creating leading technology at the time.

Over the last decade, Nvidia has increasingly focused on AI technology, with key developments launching as early as 2012. Yet it was not until 2020 when its share price really began to soar as the company’s end customer segments increasingly became data centers and cloud computing, alongside video games.

In fact, since 2020 alone, its share price has soared 1,129%—making a $5,000 investment worth twelve times as much today.

So far this year, its stock price shows no sign of stopping, driven by its outsized role in the AI chipmaking market. Roughly 70% of all chips are sold by Nvidia, outpacing key competitor AMD by a landslide.

The company’s Q4 revenues topped $22 billion, setting another historical record, amounting to a 265% year-over-year increase in revenues. In 2023, Nvidia sold 2.5 million chips with customers including OpenAI, Microsoft, Meta Platforms, and Alphabet. The price range for these chips can span anywhere from $16,000 to $100,000.

Continue Reading

Subscribe

Popular