Connect with us

Technology

Hyperloop: Engineering the future of transportation

Published

on

Photo by Joey Kyber on Unsplash
Share this:

By: Manoj Mathew

Next year will mark 150 years since the last spike was driven into the final railroad tie connecting the first transcontinental railroad in the U.S.

On May 10, 1869, supervisors and crew members from three railroad companies gathered a mile above sea level at Promontory Summit in Utah to watch Leland Stanford, the president of Central Pacific Railroad, drive the ceremonial 17.6 karat “Golden Spike.”

Private enterprise spurred the railroad’s development. The government supported it. And as travel time dropped from East to West and back again, the intended increase in commerce followed. As raw materials and finished goods could be transported much more quickly, industrialization of the West picked up speed.

What’s Good for Transportation Is Good for Commerce

Commerce constantly strives to access new markets faster, moving more goods and more people, more cheaply. That drives investment in improved transportation – safer, faster and more economical. Technological advancements in AI, robotics and faster machine-to-machine connectivity allow asset-intensive environments to optimize their performance, take decisive action more quickly, collaborate among themselves and collectively learn.

Take the automotive industry. Carmakers are already reimagining the concept of transportation using perceptual computing (machines that interact with their surroundings using five senses) and pervasive computing (embedded micro controllers to make machines ”smart”) to speed travel, promote safety, improve fuel economy and achieve sustainability.

Related: Connecting Physical and Digital Worlds to Power the Industrial IoT

As the world’s population grows, however, and more people can afford to buy automobiles and other forms of transport, infrastructure and the global environment are coming under intense pressure. Clearly, our planet would struggle if every inhabitant owned an automobile.

Redefining Transportation

Today, digital innovation has purpose beyond commerce: to tie people together without more gridlock; to reduce energy emissions (since even electricity generation burns fossil fuels); to get people from place to place faster, more safely and economically; and to develop innovative products that improve the customer experience — and their lives.

To meet these dictates for transportation systems, no development looks as revolutionary as Hyperloop, a low-pressure tube in which passenger pods travel at a rate near the speed of sound. The transportation system is designed to be underground or supported on pillars above the ground to lessen accidents and natural disaster risks. And Hyperloop proposes to cut rail and automobile travel times between cities such as New York and Washington, D.C., by five or six times.

Certainly, Hyperloop faces engineering challenges. Not the least of these is the effect on the human body of rapid acceleration and deceleration while having to negotiate curves, peaks and troughs. Other practical challenges include energy, efficiency and sustainability. But these are technical challenges that engineers are addressing, including alternative fuel sources such as solar panels, lighter materials, and combining magnetic levitation (maglev) with propulsion systems that convert higher air pressure at the front of the pod into a propellant that supercharges pod performance.

Download: Connecting Physical and Digital Worlds to Power the Industrial IoT

Early Hyperloop experimentation is arousing interest from California to the Netherlands, and from China to Mumbai. As for the practicality of transporting people safely, a development team at the Delft University of Technology recently revealed its ATLAS 01 Hyperloop pod, a half-size prototype of its design for a vehicle to carry passengers inside the Hyperloop tube. TU Delft’s graduate-level engineering team began development of its current entry in September 2017, after the first Hyperloop pod design competition was completed earlier that year. In that earlier Hyperloop competition, which evaluated the best pod design, the TU Delft Hyperloop team won first place overall.

Meeting the Hyperloop Challenge

The recent public reveal of TU Delft’s Hyperloop pod, ATLAS 2.0, comes in advance of a SpaceX Hyperloop competition that will take place July 22, inside a half-size test Hyperloop built by Elon Musk’s SpaceX at its headquarters in Hawthorne, Calif. The team whose model achieves the highest speed wins the competition. This is a tough challenge, as the pod must accelerate, achieve top speed, brake and then come to a full stop in a single kilometer, the total length of the test loop.

Cognizant Digital Business is supporting the TU Delft team as a Prime Partner in the development of its prototype. Its Hyperloop pod’s control system depends on an enormous array of sensors and sophisticated algorithms. Our Connected Products team is helping the team refine and test model-based simulations of the interplay of sensors, the environment and the vehicle. These models of the physical environment — so-called digital twins — allow scenario-testing of the pod itself, with the goal of making it “fail-safe.” (Watch this video to see how.)

Download: Connecting Physical and Digital Worlds to Power the Industrial IoT

This parallels Cognizant’s work in the similarly promising realm of connected cars, rail, airlines, even bicycles. We are providing the TU Delft team with advice and technical support to help ensure the reliability and safety of its designs. The team writes specifications for ways to reduce risk; then they write the software. We test it for them, against our own hardware and software. As with all our work, we’re seeking to bridge the digital and the physical worlds to create real-world solutions.

A New Legacy

The legacy of “the Golden Spike” was easier movement across the country, greater market access and larger profits. Now, technological innovation is leading us forward again, to a future of transportation enabled by digital thinking and technologies built around sensorization, AI, hardware and software design, and human-centered product innovation and engineering.

Humans will continue their quest to realize cheaper, faster, more sustainable modes of transportation. Other mega-programs, like Big Falcon’s effort to provide point-to-point space travel (New York to Shanghai in 30 minutes), are already underway. For now, Hyperloop offers the promise of a Golden Spike in innovation in the 21st century – one that drives connections and commerce that benefit us all. We’re thrilled to be participating in the SpaceX competition. The world will be watching.

Raj Ravindranathan, Head of EMEA Cognizant Connected Products, contributed to this blog.

This article originally appeared on the Digitally Cognizant Blog

Share this:

Technology

How can the value of the cloud evolve between now and 2030?

According to McKinsey research, large enterprises aim to have about 60% of their environment in the cloud by 2025.

Published

on

Cloud computing
Share this:

Cloud technology has become an integral part of the digital transformation of today’s businesses. And that has executives asking themselves important questions — namely, how large is the value at stake in my sector? How quickly will this value be captured? Who will capture it? What can I do to ensure my organization gets its share? 

The answers are multifaceted, and were sought by researchers at McKinsey through a recent analysis. They conducted a thorough review of several key resources, including the McKinsey D2020 IT spending structure benchmarking study, and independent third-party surveys of more than 1,000 organizations that have adopted cloud technologies. Researchers addressed over 700 use cases across 20 different sub industries, ultimately to inform their conclusions, which we’ll cover more below.

Organizations That Maximize Cloud Value Do So In a Combined Approach

The first prominent finding of McKinsey’s review is a prominent trend among organizations that maximize cloud value. According to analysts, those that make the most of the technology do so in a three-pronged system:

Rejuvenate – IT cost optimization, resilience improvement, and core operations digitization

Innovate – innovation-driven growth, accelerated product development, and hyper scalability

Pioneer – early adoption of cloud technology

The Potential Value Waiting To Be Unlocked In Cloud Technology

Another important finding of the review, McKinsey researchers suggest that the potential value in cloud technology is substantial. After analyzing the value at stake for adoption in US Fortune 500 companies, they estimated that up to $1 trillion in annual value is waiting to be unlocked by 2030. Moreover, when applying those same drivers to Forbes Global 2000 companies, the potential value is estimated to be around $3 trillion in EBITDA (Earnings before interest, taxes, depreciation, and amortization) over the next decade.

Asia’s Potential for EBITDA Gains

The report noted that Asia is in line to reap the highest cloud value potential from adoption at about $1.3 trillion by 2030. The continent’s businesses make up the largest regional revenue share of the Forbes Global 2000 companies analyzed, many of which fall within the oil, gas and banking industries. These are sectors which McKinsey researchers have identified as having particularly high potential for value gains from cloud adoption.

The Americas aren’t far behind, coming in second with a potential cloud value of around $1.2 trillion, driven largely by retail and manufacturing sub industries. These specific domestic sectors stand to capture nearly $162 Billion in EBITDA growth by 2030 – more than three times the value potential for those in Asia and the European Union.

The Keys to Unlocking Value

McKinsey interviewed more than 50 CTOs, CIOs, and cloud program leaders from prominent North American enterprises to better understand their work and what success factors they had in common. The research concluded that the most successful cloud adopters leveraged three key levers:

1. Discovering the full value of the cloud.
2. Solving critical technical challenges.
3. Delivering fundamental, organizational change.

These organizations withstood the challenges of cloud adoption and emerged better-positioned to capture value. Their key takeaway was that creating an effective cloud program requires a combination of technical and organizational capabilities, as well as the right mindset. This means that even if an organization has the necessary tools, they may still need to make changes in areas such as strategy, culture, and processes in order to fully benefit from cloud technology.

Read the full report from McKinsey

Share this:
Continue Reading

Business

WeaveSphere: 5 conference highlights

The WeaveSphere tech conference wove together ideas about AI, FinTech, STEM education, innovation in Canada, and more.

Published

on

WeaveSphere
Share this:

For three days this November, innovation, collaboration, and a whole lot of big ideas were shared among “Weavers” during the WeaveSphere tech conference in Toronto.

“Today is an opportunity for greater connection between the scientific and tech industry, and academia,” said Marcellus Mindel of IBM Canada, opening the conference. With innovation the event’s core, Mindel added: “let’s define innovation, thinking of it as reframing that implements better outcomes.”

While lots happened over three days, here are five highlights and takeaways from the event:

1. Thought-provoking keynotes had attendees thinking big

Each day of WeaveSphere kicked off with a keynote, where three speakers brought their insightful ideas to attendees.

Gillian Hadfield shared ideas about AI and regulation

On Day 1, Gillian Hadfield, Professor of Law and director of the Schwartz Reisman Institute for Technology and Society at the University of Toronto, explained where we are today when it comes to regulating artificial intelligence (AI) — and where we need to go next. 

While AI makes machines intelligent, Hadfield argued that it cannot, by definition, produce intelligent behaviour if it isn’t functioning appropriately and ethically. Machine learning is not the same as standard programming, since machines write the rules. As a result, machines can start solving problems in ways we don’t want them to, resulting in regulatory challenges. 

How to solve this? Hadfield presented two solutions:

  1. Establish compensation for harm
  2. Design incentives for meeting good and safe behaviour

Dr. William Barry discussed ethics with an AI co-presenter

On Day 2, professor, AI ethicist, and futurist Dr. William Barry talked about a particular problem: what ethical questions might arise when you program a robot? 

For starters, how do you determine what information to include or not? Where is the appropriate line? 

As a professor, Dr. Barry has been working with robots as teaching assistants in his classroom since 2015, and brought a digital version of Maria Bot (one of his AI assistants) to interact with the audience.

As Dr. Barry explained, he is very strategic when choosing the information from which his assistants learn. 

One place Maria won’t get access to? Twitter, says Dr. Barry, highlighting it’s too much of a risk for an “AI benign” to get access to misinformation. This would distort the ethical perspective that Maria is learning, he said. 

While he has programmed her to weed out and to not learn from toxic content — like racism and misogyny — Dr. Barry does work at exposing his AI beings to a wide range of diverse thought and lived experiences. In the end, how ethical an AI being is, is in the hands of the human controlling what they learn, he argued. As a result, they’ll ultimately be biased as a result of the specific data sets we provide for them. 

Marcel Mitran discussed technology for good

WeaveSphere’s Day 3 keynote took a slight turn away from AI. 

IBM Fellow, IBM Master Inventor, and CTO for Cloud Platform for zSystems and LinuxONE, Marcel Mitran took to the main stage for a keynote on responsible computing. At the heart of his talk was the argument that technologists need to take a step back and look at what’s being done to keep the world safe. 

For example, the opportunity for error and bias in the role of facial recognition in public safety, and the fact that our digital footprints — both on a personal level and for enterprise — have grown significantly even in the last year.

As Mitran explained, responsible computing is a systemic, holistic approach addressing current and future computing challenges like sustainability, ethics, and professionalism. It advances the “quadruple bottom line” of people, planet, prosperity, and participation. 

2. Insightful sessions had attendees thinking deep

Photo courtesy WeaveSphere

FinTech, cryptocurrency, AI, digital economies, Canada’s innovation landscape — there was a large cross-section of topics covered across a variety of workshops, paper presentation, and panel discussions. 

Some highlights include:

Chhavi Singh, co-founder of Flyte, asked the question: have you considered using AI to coach your sales staff? Elaborating on the opportunity AI presents to increase sales performance, Singh explained how AI can be used to help understand customer challenges and handle objections and concerns. 

COO of wealth management platform OneVest, Jakob Pizzera, outlined the three phases of FinTech. The first (1.0) was in-house sites for basic online banking. Version 2.0 was the “unbundling” of financial services, and the rise of standalone businesses. The last few years has brought FinTech 3.0, with embedded finance — for example making a purchase through Instagram.

WeaveSphere conference chair and R&D specialist Vio Onut answered the question of why we need to care about cyber security. For starters, the potentially very large costs to your organization, and because the massive skills gap of privacy and security experts has created vulnerabilities. 

Digital strategist Matt Everson explored what can go with emerging technologies like Web3 and the metaverse. Everson said developers should just start building and drawing on video game virtual markets as a model. He used popular online game EVE Online as an example of how virtual economy design can be translated to other markets.

Lijia Hou, Blockchain Systems Engineer with Draft Kings, explained that three key problems still exist when it comes to blockchain technology. First, investors want to understand how — in a volatile market — to mitigate risk. Second, developers from the traditional software side need a mindset shift when it comes to decentralization. And finally, the tools of decentralization are used differently, and this is not always evident for those unfamiliar with Web3.

3. There was a LOT of interest in STEM education

As part of WeaveSphere’s Education Day slate of programming, hundreds of high school and university students had the opportunity to workshop real-life problems from both school and work — all under the guidance of IBM’s Design Thinking experts

Photo courtesy WeaveSphere

This meeting of next-generation tech talent collaboratively explored Enterprise Design Thinking strategies like As-Is Scenario Mapping, Empathy Mapping, Hills (positioning statements), and Hopes and Fears. This approach to problem-solving works by framing the issue at hand in a human-centric way, centering the end-user in all decision-making. 

For Education Day, the problem at hand was helping fourth-year university students find their first job. 

Photo courtesy WeaveSphere

4. There were loads of networking and learning opportunities

One of the best parts of any conference is the opportunity to network and learn from fellow attendees.

In the conference’s Innovation Valley section, event sponsors were on-hand to discuss everything from their latest technologies to job opportunities, plus several graduate students were also there to present their research.

Since WeaveSphere is a “meeting of the minds” between tech professionals and students, many undergrads from schools like York University and Mohawk College came to the conference full of questions, ready to absorb everything. 

5. WeaveSphere celebrated top tech talent

A big part of WeaveSphere was a celebration of some of the best tech minds in Canada. 

During a gala evening at the end of Day 2, the 2022 Developer 30 Under 30 and Tech Titans were awarded to the best of the best among young developers and digital transformation leaders in Canada. 

The winners were:

Developer 30 Under 30 winners

Photo courtesy WeaveSphere
  • Alexander Newman
  • Anakha Chellakudam
  • Anthony Langford
  • Arshdeep Saini
  • Aryaman Rastogi
  • Bohdan Senyshyn
  • Charlie Mackie
  • Charmi Chokshi
  • Colin Lee
  • Daniel Marantz
  • Francisco Hodge 
  • Hassan Djirdeh
  • Jerry Fengwei Zhang
  • Julia Paglia
  • Karandeep Bhardwaj
  • Kathryn Kodama
  • Khushbu Patel
  • Lianne Lardizabal
  • Lucas Giancola
  • Mathew Mozaffari
  • Maz Mandi
  • Oleksandr Kostrikov
  • Rishab Kumar
  • Samantha Lauer
  • Sarah Syed
  • Stan Petley
  • Tanmay Bakshi
  • Tim Romanski
  • Xiaole Zeng
  • Yash Kapadia

Tech Titans winners

Photo courtesy WeaveSphere
  • Andrew Dolinski
  • Ashish Agrawal
  • Chhavi Singh
  • Chris Dolinski
  • Dean Skurka
  • Demetrius Tsafaridis
  • Fay Arjomandi
  • Harish Pandian
  • Harpreet Gill
  • Iman Bashir
  • James Stewart
  • Len Covello
  • Manav Gupta
  • Marcel Mitran
  • Michelle Joliat
  • Dr. Mohamad Sawwaf
  • Omar A. Butt
  • Peter Zwicker
  • Ryan McDonald
  • Dr. William Cherniak

Finally, as WeaveSphere came to a close, the Pitch Stadium opened, hearing from a wide variety of startups. 

They came, they pitched, and in the end, Iman Bashir and Nicole Lytle of Craftly.AI, a copywriting assistant that uses AI to generate original content, took home the $50,000 prize to help grow their business.

Photo courtesy WeaveSphere

WeaveSphere was a uniquely collaborative, innovation-focused conference filled with engaging workshops, presentations, and networking opportunities.


DX Journal is an official media partner for WeaveSphere. Check out our series of articles from the lead-up to WeaveSphere.

Share this:
Continue Reading

Business

7 Digital Transformation trends on the horizon for 2023

Salesforce’s MuleSoft reports seven trends that are key to balancing operational pressure and improved customer and employee experience.

Published

on

Share this:

Efficiency and growth are at the heart of many a business plans right now, even though an economic downturn is widely predicted to be on the horizon.

In the face of these organizational pressures, Salesforce’s MuleSoft recently released a report detailing their predictions and insights for digital transformation in 2023. In the report, they outlined seven trends that are going to be crucial for organizations that want to overcome these pressures while keeping the gas on customer and employee experiences. 

As MuleSoft Global Field CTO Matt McLarty explained, “as companies gear up for the year ahead, businesses must recognize that effectively utilizing new digital techniques is the only way to ensure growth amidst economic pressures.” 

“Investing in cost efficient, employee- and customer-centric technologies will be critical for companies seeking to remain agile and break away from the competition in 2023.” 

Here are MuleSoft’s seven digital transformation trends-to-watch:

Increase in automation investment

MuleSoft’s research has validated what many in the industry have already predicted regarding the projected growth of automation tools. According to a previous survey, roughly 80% of organizations plan on incorporating hyperautomation into their technology roadmap within the next 24 months. This points to a paradigm shift in the way businesses operate, as they move away from reliance on manual processes to a more digitized and technology-enabled future.

Composability is key

MuleSoft and Salesforce predict that in lieu of the point mentioned above, companies will be inclined to implement strategies like low/no-code platforms and application programming interfaces (APIs) to make their automation efforts more composable.

The rise of low/no-code tools

The report from September found that 73% of leaders agree that acquiring IT talent is the hardest it’s ever been, which makes perfect sense given the global shortage of software developers. In order to free up resources and enable a wider range of employees to participate in digital transformation, low/no-code platforms will continue to grow in popularity.

Investment In total experience (TX) strategies

Amid findings that 86% of IT leaders believe that both employee and customer experience (EX and CX) are as important as a company’s products, MuleSoft’s research anticipates that organizations will increase their focus on delivering great experiences through loyalty and advocacy.

CX and EX initiatives will work in tandem to increase revenue and retain talent, focusing on integration and automation that connect the dots where these two meet.

Data-Driven Decision Making Should Be Technology’s Job

Salesforce research highlights that 83% of organizations consider data-driven decisions to be a top priority in their organization. This data, however, is often siloed. As a result, MuleSoft predicts, 2023 will see the rise of real-time analytics to bread down silos, to “create a data fabric that provides automated, intelligent, and real-time insights and reduces untimely decisions.”

Cybersecurity Is Set to Scale

Expect to see more organizations invest in a cybersecurity mesh approach in order to secure data as it moves between multiple cloud applications. This is in response to data from Gartner that claims doing so could reduce the financial impact of security incidents by 90%.

Sustainability Will Be a Priority

Organizations are likely to increase their adoption of data-driven insights and integration across supply chains as they seek to become more sustainable. 


Download the full Mulesoft report

Share this:
Continue Reading

Featured