A primer on Artificial Intelligence, Deep Learning and Machine Learning  

These days, artificial intelligence (AI) is on everyone’s lips. The term generally brings to mind companies like Google, which offers its own Siri-like voice-command assistant and, more recently, NASNet, Google’s own artificial intelligence capable of recognizing in real time a multitude of objects such as cars or even people that appear in a video.

But let’s take a step back. Are you able to define artificial intelligence and identify what it refers to?

Artificial intelligence, machine learning and deep learning are often grouped together, but in reality, these notions are distinct. To understand the link among these concepts, it is best to visualize them in a timeline:

(1950-1980)
Artificial intelligence involves the idea of a machine that is capable of completing tasks associated with human intelligence. This definition includes activities like planning, interpretation of language, object and sound recognition, learning and the resolution of problems.

 

(1980-2010)
Machine learning is a realization method of artificial intelligence. The approach represents the capacity to learn without explicit training. Machine learning is one way of training an algorithm so that it may execute a task without explicit programming. This training involves the intake of a large volume of data by the algorithm, which gradually adjusts itself and improves its performance as it is exposed to more data.

 

(2010 to present)

Deep learning is one of several approaches made possible for the execution of automatic learning. The recent technique was inspired by the human brain and aims to imitate the perceptive and logical reasoning mechanisms of humans.

 When discussing digital developments, a frequent error is to start directly with the technology in a business. It is necessary to focus on new technologies, to explain them and to understand them, while knowing that, like artificial intelligence, they can sometimes be difficult to pin down.

SAPPHIRE NOW Conference 2017: Three Breakthrough SAP Innovations!

Every year, enterprise software solutions giant SAP gathers together people from around the world to its SAPPHIRE NOW conference in Orlando, Florida. At the event, business leaders, customers, prospects and other decision-makers meet and discuss the technological solutions of today and tomorrow. This event was a opportunity to obtain an overview of SAP innovations and industry trends.

Digital transformation is driving businesses to establish themselves to a greater degree in the digital economy. Today, it is no longer a secret that technologies and business lines must be brought together. For instance, when it comes to sales, customer experience is one of the primary methods by which businesses distinguish themselves from their competitors. But customers have never been as well informed as they are today. Irrespective of the size of businesses and the sector in which they operate, one of their main concerns remains the daunting task of continuously keeping up with new developments and adopting omnichannel strategies while offering a unique customer experience.

But which technological initiatives should businesses adopt in light of their needs? And how will these solutions disrupt and redefine their way of doing things moving forward?

Many interesting innovations were once again presented this year. We provide below an overview of three such innovations that particularly captured our attention:

 

Facilitating Collaborative Creation through Design Thinking

First things first – what is Design Thinking?

Design Thinking can be defined as a management model that advocates for a collaborative work style. A business that adopts Design Thinking will not have its departments collaborate in an isolated manner but will instead aim to promote collective intelligence. How? The answer is to combine the analytical skills of some teams (e.g. engineers) with the more intuitive skills of others (e.g. marketing or creative professionals) to the greatest extent possible.

Understanding its use

Experience is increasingly dominating the economy. In the coming years, Design Thinking will change the way that businesses improve products in addition to their general approach to technology. It allows employees and consumers to converge at the very core of their experience.

Design Thinking is implemented as part of a global strategy. It no longer means simply identifying where a problem is found and resolving it in an isolated manner, but instead consists of addressing the problem from the very start of one’s reflection up to the final integration of the solution.

 

Artificial Intelligence and Machine Learning: SAP Leonardo

Intelligently connecting people, things and businesses. If we do it right, you can care more and do more for your customers. And one key to do this right is data.” (Bill McDermott, CEO of SAP)

 

With its new Leonardo solution, SAP offers its clients a simple way to use emerging technologies including artificial intelligence, machine learning, advanced analysis and blockchain.

In so doing, SAP does not only wishes to accompany its clients as they find solutions, but now aims to address all of their business needs. It will be possible for businesses to connect smart devices with employees, products, infrastructures and markets to optimize their strategic and financial performance.

This offer seems promising for optimizing and transforming the bond among people, objects and technologies.

 

SAP Cloud Platform

According to a CEFRIO report on the subject of digital innovation, 68% of businesses in Quebec have presently adopted a cloud solution.[1] This figure is not to be frowned upon, as it appears only to be increasing. With their simplicity, accessibility and availability, cloud technologies offer a wide range of advantages to businesses by allowing them, among other things, to generate savings and to better control their costs associated with information technology and infrastructure.

SAP is a major player in the field due to the flexibility of its solutions. The agile environment offered through this type of platform allows businesses to develop, operate and instantly connect their applications with the help of data centres.

Together with Design Thinking, the SAP Cloud Platform could position itself as an interesting solution for responding to the niche business needs of organizations.

The innovations presented at the SAPPHIRE NOW conference are, and will continue to be over the coming years, major drivers for the improvement of business strategy, whether it is regarding the internal or external concerns of businesses, particularly with respect to optimizing customer experience.

For a business to benefit the most from its current technological environment and from potential process optimization solutions, it must have proper control over the available tools and products in addition to following market trends regarding digital transformation. To learn more, read Talsom. And for more information concerning the SAP innovations presented at the event, visit the Facebook page for SAPPHIRE NOW.

 

 

[1] Talsom’s 2017 Technology Radar.

 

Four Ways for Businesses to Use AI

Four Ways for Businesses to Use AI

Artificial intelligence presents employers with a technological alternative to their traditional modes of operation. With its emergence, businesses are now able to create programs and equipment that allow for autonomous decision-making through the smart interpretation of large volumes of data. Be it in the fields of health care, retail or financial services, or even within industrial businesses, applications derived from AI presently affect virtually all sectors of the world economy. The mass adoption of this technology is justified by its ability to identify with precision the patterns that exist within data, to make projections and to run simulations.

Here are a few possible ways that businesses can use this technology:

CHATBOTS

These software robots, which can converse with consumers through an automated chat service, offer retail businesses the opportunity to improve and expand their social channels in addition to presenting a specific service in real time.

  • Notable initiatives that incorporate chatbots include Duolingo, Gumbot (offered by Gumtree), Replika (offered by Luka) and Cleverbot.

 

ROBO-ADVISERS

A robo-adviser is typically an automated, online management service that replaces the basic portion of the work completed by a financial consultant for a fraction of the cost. While this technology is still at an early stage of its development, it is expected that businesses will be able to use it to develop financial management strategies that are tailored to the profiles of their clients according to the clients’ historical data.

  • Startups that operate in this niche of the market include Betterment, Personal Capital, Schwab Intelligent Portfolios and SigFig.

 

DYNAMIC PRICING

As customers become increasingly segmented, businesses can adjust prices in real time in order to draw greater economic value.

IBM Dynamic Pricing and Perfect Price currently offer cutting-edge solutions.

 

CONSUMER DATA ANALYSIS

With the amplification of the volume of data detected by smart sensors (located in cars, houses, etc.) and generated by the Internet of Things, an opportunity has arisen for the development of tools dedicated to managing the complexity of human risk and to identifying consumer trends. With these initiatives, it is possible to offer consumers more personalized serviced.

  • Earley Information Science is one company that offers such promotional services.