Connect with us

Technology

AWS chief architect says AI is boosting human intelligence

Key takeaways from Glenn Gore from CIX 2018

Published

on

Amazon Web Service’s Chief Architect, Glenn Gore. - Photo by DX Journal
Amazon Web Service’s Chief Architect, Glenn Gore. - Photo by DX Journal
Share this:

Every talk about artificial intelligence at a technology event inevitably ends up in a comment about robots replacing human jobs. But for Amazon Web Service’s Chief Architect, Glenn Gore, humans benefit from the process of designing artificial intelligence (AI).

“We are seeing human intelligence being brought back with the rise of artificial intelligence,” he said during his keynote speech at CIX 2018.

Gore spent the next 30 mins talking about how various companies leverage big data for insight, and how designing artificial intelligence frameworks is creating new innovation and ways of thinking for humans.

Here are three major takeaways from his talk:

AI is boosting human intelligence

During his keynote, Gore turned to a quote from Joi Ito, director of MIT Media Lab, to get to the heart of the appeal of AI and cloud: “Want to increase innovation? Lower the cost of failure.”

Gore cites time, rather than money, as the biggest cost that failure incurs. Across multiple industries, AWS is seeing inventive uses of AI and machine learning (ML) that allow companies to innovate faster, using speed as a compelling sell point.

For example, GE Healthcare is innovating around medical imaging in order to provide better diagnosis and make preventative discoveries for patients. Their medical scanning equipment produces terabytes of data from each incredibly detailed scan, so it takes time for images to be processed. Using a combination of connected devices and machine learning tools is allowing GE to speed up image process for doctors who seek to improve early detection of tumors and other abnormalities.

AI and cloud are also being used by financial services giant Moody’s to filter through complicated financial documents.

The company has tens of millions of financial documents to mine for insights, but it is incredibly time-consuming to process manually. Moody’s now uses AWS’ AI Lab Solutions to find insights around trends and patterns, reducing the need for teams of people to work through the same quantity of documents.

Gore said it’s now becoming a question of proving an idea’s effectiveness over six weeks rather than six months. And thanks to the array of AI and ML tools available, you don’t have to be a ML engineer or a data scientist to develop a concept and get it running.

Amazon Web Service’s Chief Architect, Glenn Gore. - Photo by DX Journal

Amazon Web Service’s Chief Architect, Glenn Gore. – Photo by DX Journal

Get business out of the way of the customer

Gore also spoke about how technology can have a negative impact on customer interaction if it gets in the way.  Data is often the culprit.

As a business grows, you need to remain close to customers. The data may signal positive signs for a business, but at the end of the day a customer’s satisfaction and experience is the most important thing to a business.

One company that is taking a customer-centric approach to its technology is the NFL, Gore said.

The league is running an advanced stats platform on AWS that draws from thousands of games, providing valuable data about every level of the game. The organization doesn’t keep these insights to themselves, either – technology is used to provide an immersive experience for fans by combining statistical analysis with real-time video footage, allowing fans to engage with the sport like never before.

It’s never been easier or cheaper to collect data at any scale

One of the key factors behind the AI and ML renaissance is that businesses are dealing with “hundreds of millions of interactions” that can be tracked, stored in the cloud, measured and mined for insights.

An example of a business doing big data analysis at scale is the online multiplayer game Fortnite.

Gore said the game supports 125 million players worldwide, with 92 million “events” tracked every minute in the cloud minute.

Fortnite uses AWS to leverage the scale of the data, store it, and process it to gain insights that can be used to change the game. The 40 gigabytes of analytical data per minute that is tracked by gamemakers allows the company to constantly improve, helping to win the attention of players and retain them as customers.

Share this:

Technology

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.

Published

on

Share this:

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

Share this:
Continue Reading

Technology

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.

Published

on

Share this:

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.

 

View this post on Instagram

 

A post shared by MIT Sloan Management Review (@mitsmr)

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.”

Share this:
Continue Reading

Technology

Bringing DX to the food supply chain in a pandemic

In a new paper, supply chain stakeholders share how COVID-19 has affected the transformation of the sector.

Published

on

Share this:

There’s little doubt that COVID-19 had a profound effect on the food supply chain.

As one example, just think back to roughly March of this year, when virus transmission was rapidly picking up speed. Remember the reports of food and beverage companies only producing their most popular or essential products? Or how it would take slightly longer than usual to restock certain products? What about the rush to integrate — or quickly improve the efficiency of — digital and e-commerce. 

Panning out a bit, think about food safety and quality professionals. The need to stay safe — and in many cases, stay at home — meant performing the very hands-on job of monitoring, auditing, inspecting at a distance, i.e. digitally. 

When the food supply chain was hit by storages, delays, breakdowns, and lockdowns, the end result was — like in so many sectors — a rapid digital transformation.

As The Food Safety Market — an SME-powered industrial data platform dedicated to boosting the competitiveness of European food certification — elaborates in a new discussion paper, “technology has played an important role in enabling business continuity in the new reality.”

The paper — Digital Transformation of Food Quality & Safety: How COVID-19 accelerates the adoption of digital technologies across the food supply chain — features industry experts from companies like Nestlé, Ferrero, PepsiCo, McCormick & Company, and more discussing the effects of the pandemic on the supply chain.

A few highlights from the paper:

  • John Carter, Area Europe Quality Director for Ferrero put the issue of food access into perspective at the start of his interview:

“The production of food defines our world. The effects of agriculture on our daily lives are so omnipresent that they can be easy to overlook; landscapes and societies are profoundly influenced by the need to feed our growing population. But much has been taken for granted. Only occasionally are we forced to consider: ‘where does our food come from?'”

  • Ellen de Brabander, Senior Vice President of R&D for PepsiCo provided insight on the cost benefits of digital transformation:

“The need for customization is a big driver for accelerating digital transformation and moving away from a ‘one size fits all’ approach. This means that the cost to develop and produce a product must be lower and digital technologies provide a clear opportunity here.” 

  • Clare Menezes, Director of Global Food Integrity for McCormick & Company brought up one area where digital tools need to go:

“There aren’t any areas where digital tools “fail”, but there is a need for tools that ‘prove out’ predictions around where the next integrity event will play out and how it could lead to quality or food safety failure. These tools are an obvious candidate for AI given the number of PESTLE factors that might come into play.” 

Want to read all of the interviews? Check out the paper here.

Share this:
Continue Reading

Featured