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The 2020 outlook for artificial intelligence

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While 9 out of 10 respondents to the 2019 MIT Sloan Management Review and Boston Consulting Group (BCG) Artificial Intelligence Global Executive Study and Research Report agree that AI represents a business opportunity for their company, fewer than 2 out of 5 report business gains from AI in the past three years.

According to the report, “early AI winners are focused on organization-wide alignment, investment, and integration.”

Forrester’s AI predictions for 2020 focus on this being the year when “companies become laser-focused on AI value, leap out of experimentation mode, and ground themselves in reality to accelerate adoption,” explains VP, Research Director Srividya Sridharan.

As we look to the year ahead, “CIOs will need to better assess the value of their AI bets and prove that ROI to the business,” explains TetraVX Director of Product Management Kara Longo Korte, to business and tech reporter Stephanie Overby in The Enterprisers Project.

And while this promises to be an active year for AI investment, Overby outlines the 10 biggest AI trends to watch for 2020:

Measuring AI impact

As mentioned above, fewer than two in five companies report business gains from AI in the last three years. But as AI investment increases, this needs to change — and it can be done by altering how we measure results. “Think reporting against things like ease of use, improved processes, and customer satisfaction,” writes Overby.

Think Operationalization

“This year will be a tipping point for the infrastructure needed to support effective deployments, providing integrated learning environments and data ecosystems that support adaptive decision making by AI,” says Jean-François Gagné, CEO and co-founder of software provider Element AI.

Data pipelines

“Next year, the luster of AI and ML will wear off as companies realize it’s not magic, but math,” explains Pat Ryan, executive VP of enterprise architecture at SPR. With high-quality data as a foundation for AI/ML, 2020 will see a “heightened sense of appreciation and need” for everything-data — governance, analysts, engineers, and ML engineers — with a goal of creating a pipeline for continuous data that’ll drive more successful AI projects.

AI innovators in high demand

At 74% annual growth, AI Specialist is #1 on LinkedIn’s top 15 emerging jobs for the US in 2020. “[AI and ML] have both become synonymous with innovation, and our data shows that’s more than just buzz,” says the report.

Data modeling moves to the edge

As Overby explains, “expect a shift from cloud-only to cloud-edge hybrid strategies to enable machine learning (ML) in the next year.” Forrester is predicting that edge cloud service market will grow by at least 50 percent in 2020. “By implementing edge-first solutions, organizations can synthesize data locally, identify machine learning inferences on core raw data sets, and deliver enhanced predictive capabilities,” says Senthil Kumar, VP, Software Engineering for FogHorn.

The B2B benefits of AI

“Machine and deep learning are making it possible for users of complex B2B services to define and match complex requirements to ideal trading partners through an intuitive, needs-identification process and a vast understanding of potential trading partner strengths and capabilities,” says Keith Hausmann, chief revenue officer at Globality.

Human and machine work together

AI can work as a complement to contact service centre agents and teams, providing better/more timely informed responses. The challenge? “It’s important that organizations keep their customer service experiences human,” minimizing a potentially ‘too automated’ look. (The question can then be asked: When will standalone conversational AI emerge?)

Hyperautomation

One of Gartner’s top 10 strategic technology trends for 2020? Hyperautomation — i.e. “The application of advanced technologies like AI and ML to automate processes and augment humans across a range of tools and at a higher level of sophistication.” The goal? “More AI-driven decision-making,” explains Gartner.

Heterogenous architectures will emerge

“Today, AI-enabled applications and networks rely on different processing architectures,” writes Overby. But according to ABI Research’s 54 Technology Trends to Watch, that’ll change in 2020. “AI and ML frameworks will be multimodal by their nature and may require heterogeneous computing resources for their operations.”

Mistakes happen

AI is, of course, not perfect. As a final prediction, it isn’t hard to imagine that high-profile mistakes can be anticipated in 2020, but overall trust in AI will not erode. From deep fakes to the misuse of facial recognition, AI has the potential to perpetuate discrimination and cause harm, offence, and general uneasiness. Ultimately? It comes down to the importance of responsible use.

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Collision returns to Toronto with more than 35,000 planned attendees

Nicknamed ‘The Olympics of Tech,” Collision 2022 is back live after two years.

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It’s been called “The Olympics of Tech.”

More than 35,000 attendees, 1,250+ startups, and 800+ investors are converging on Toronto for a now-sold-out Collision 2022 — back live for the first time in two years. 

North America’s fastest-growing tech conference takes place June 20-23 at Toronto’s Enercare Centre. It is part of a series of technology conferences that include Web Summit in Europe and RISE in Hong Kong.

Welcoming attendees back after the 2020 and 2021 virtual editions of the conference, Paddy Cosgrave, founder and CEO of Collision & Web Summit said, “I just can’t tell you how excited I am to be back,” before introducing Toronto mayor John Tory.

“The numbers of people that come to this conference demonstrate the eagerness that everyone has to be together after a long pandemic,” said Tory. “It speaks to the impact of Collision itself, that so many people are here.”

“You come because you think it matters,” he continued. “And we have to make it matter. We have to make it make a difference — not just with respect to technology.”

Tory then outlined why Collision is right at home in the city of Toronto: “This is one of the fast-growing tech conferences in the world, for a reason, and there is a reason that Toronto is hosting it.”

“If you’ll forgive me a moment of truthful immodesty, we have cemented ourselves as a global hub for technology and innovation,” said Tory, before welcoming attendees to explore the city and see what it can do for their businesses. 

“You can be part of this Toronto success story.”

Collision kick-off

Led by co-hosts Sunil Sharma (Managing Director of Techstars Toronto) and Casey Lau, opening night featured an impressive lineup of speakers from a range of sectors. Guests included:

To warm up the audience, however, a series of breakout startups presented their pitches, as a preview of what’s in store for attendees this week. Eight startups, three of which are Indigenous-owned (see asterisks), came to the stage. Startups featured were:

Collision and the state of the world

Collision is coming back at an interesting, particularly volatile time for the global economy and tech market. Inflation has skyrocketed, and the costs for everything from basic groceries to buying a car or home has led to a tremendous feeling of uncertainty. 

For starters, recent weeks have seen the cryptocurrency market crumble, with even long-term investors starting to think of exiting the space. CNBC recently reported that the price of bitcoin fell more than 9% in 24 hours to $18,642.22, as of about 2 p.m. ET on Saturday, June 18. 

Venture Capitalists have been pouring money into startups throughout the pandemic, at what we can now call an unsustainable level. The result? Overvaluation — a big risk to employees, as one CEO wrote for Forbes.

Ultimately, there is an air of optimism coming from Collision, where an enthusiastic and packed crowd were eager to kick off the event. 

Agenda

Attendees will be able to choose from an absolutely massive selection of sessions, across several tracks and curated lists of sessions.

With the aforementioned crypto crash at the top of many minds, the crypto track, featuring sessions like Mass Adoption: Crypto’s next challenge and How to regulate cryptocurrencies, is sure to be popular. 

Those interested in startups can look forward to sessions like How Calgary is winning the global talent competition, How to recession-proof your startup, and 3 big mistakes founders make when building early-stage tech teams, among others.

Want to follow along with all the action from outside the sold-out event? Follow Collision on Twitter, Facebook, LinkedIn, Instagram, and YouTube. Look for the official hashtag, #CollisionConf.

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The importance of data access for digital initiatives

A new report from MuleSoft found that just 37% of organizations have the skills and technology to keep up with digital projects.

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In a global survey of over 1,700 line of business employees in organizations with at least 250 employees, MuleSoft found that just 37% of organizations have the skills and technology to keep up with digital projects.

The resulting report — The State of Business and IT Innovation — reveals four key ideas that IT leaders need to know in order to drive digital innovation forward.

These four key findings are:

  • Collaboration is key 
    • 68% of respondents believe IT and LoB users should jointly drive digital innovation.
  • Keep up the pace 
    • 51% expressed frustration with the speed at which IT can deliver projects.
  • Integration challenge
    • 37% cite security and compliance as the biggest challenge to delivering new digital services, followed by integration (i.e. connecting systems, data, and apps) at 37%.
  • Data access
    • 80% say that in order to deliver on project goals faster, employees need easy access to data and IT capabilities.  

“This research shows data is one of the most critical assets that businesses need to move fast and thrive into the future,” said MuleSoft CEO Brent Hayward

“Organizations need to empower every employee to unlock and integrate data — no matter where it resides — to deliver critical, time-sensitive projects and innovation at scale, while making products and services more connected than ever.”

Want to read through the whole report? Download it from MuleSoft

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Where is the financial value in AI? Employing multiple human-machine learning approaches, say experts

According to a new study, only 10% of organizations are achieving significant financial benefits with AI.

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AI is everywhere these days — especially as we work to fight the spread of COVID-19

Even in the “before times,” AI was a hot topic that always found itself in the center of most digital transformation conversations. A new study from MIT Sloan Management Review, BCG GAMMA, and BCG Henderson Institute, however, prompts a crucial question:

Are You Making the Most of Your Relationship with AI?

Finding value

Despite the proliferation of the technology and increased investment, according to the report, just 10% of organizations are achieving significant financial benefits with AI. The secret ingredient in these success stories? “Multiple types of interaction and feedback between humans and AI,” which translated into a six-times better chance of amplifying the organization’s success with AI.

“The single most critical driver of value from AI is not algorithms, nor technology — it is the human in the equation,” affirms report co-author Shervin Khodabandeh.

 

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From a survey of over 3,000 managers from 29 industries based in 112 countries — plus in-depth interviews with experts — the report outlined three investments organizations can make to maximize value:

  • The likelihood of achieving benefits increases by 19% with investment in AI infrastructure, talent, and strategy.
  • Scalability. When organizations think beyond automation as a use case, the likelihood of financial benefit increases by 18%.
  • “Achieving organizational learning with AI (drawing on multiple interaction modes between humans and machines) and building feedback loops between human and AI increases that likelihood by another 34%.”

According to report co-author Sam Ransbotham, at the core of successfully creating value from AI is continuous learning between human and machine:

“Isolated AI applications can be powerful. But we find that organizations leading with AI haven’t changed processes to use AI. Instead, they’ve learned with AI how to change processes. The key isn’t teaching the machines. Or even learning from the machines. The key is learning with the machines — systematically and continuously.” 

Continued growth

While just 1 in 10 organizations finds financial benefits with AI, 70% of respondents understand how it can generate value — up from 57% in 2017.

Additionally, 59% of respondents have an AI strategy, compared to 39% in 2017, the survey found. Finally, 57% of respondents say their organizations are “piloting or deploying” AI — not a huge increase from 2017 (46%). 

One of the biggest takeaways? According to co-author David Kiron, “companies need to calibrate their investments in technology, people, and learning processes.”

“Financial investments in technology and people are important, but investing social capital in learning is critical to creating significant value with AI.”

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