Artificial Intelligence - your key to effective digital transformation | Striata
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Artificial Intelligence - your key to effective digital transformation

Unwrapping Artificial Intelligence

Artificial Intelligence promises to not only improve the customer experience, but also change the way businesses operate. We already use artificial intelligence in our everyday lives, possibly without being aware of it. Now is the time for organizations to investigate the role of AI in digital transformation, and consider how to leverage it to stay competitive.

These visuals provide basic information about AI to help start your organization’s journey…

Artificial Intelligence

Artificial Intelligence terms

Sourced from Fabernovel

Artificial Intelligence Definition

Artificial Intelligence (AI)

Artificial Intelligence is the ability for computers to act without being explicitly programmed, thereby becoming capable of ‘intelligent behavior’.

Machine Learning Definition

Machine Learning (ML)

Enables machines to learn for themselves based on data, rather than coding a specific set of instructions.

Deep Learning Definition

Deep Learning (DL)

Supervised learning, which involves ‘training and testing’ a machine based on large quantities of labelled data samples.

Generative Adversarial Network Definition

Generative Adversarial Networks (GAN)

Unsupervised learning, in which a machine learns to create data that is similar to given data, then learn from mistakes to avoid making similar errors in the future.

Enabling Forces

There are a number of forces that are enabling the rise of AI, not least the investment into R&D by big brands such as Microsoft, Google, Facebook and Apple. Sourced from Deeplearning4J

Neural Networks

Neural Networks A computer system designed to work by classifying information in the same way a human brain does

Decreasing costs

Decreasing CostsDecrease in storage, bandwidth & computing costs

Processing power

Processing PowerGPUs make parallel processing faster, cheaper and more powerful

Big data

Big DataAccess to large amounts of data

Giants investing in Artificial Intelligence

Big brands are investing in machine learning platforms and providing tools that encourage the application of AI into other processes and machines. Sourced from Techworld and CBInsights

Spotify
Microsoft
Uber
Facebook
IBM
Google
Saleforce
Skype
Apple

Major players

Machine Learning Platforms

Providing algorithms, APIs, development and training toolkits, data, as well as computing power to design, train, and deploy models into applications, processes and other machines. Sourced from Forbes

Amazon
Google
Microsoft
Skytree
Fractal
H2O
SAS
IBM Watson

AI-optimized Hardware

Graphics processing units (GPU) and appliances specifically designed and architected to efficiently run AI-oriented computational jobs. Currently making a difference primarily in deep learning applications. Sourced from Forbes

Alluviate
IBM
Cray
Nvidia
Google
Intel

Artificial Intelligence milestones

1950

1950

Turing tests introduced by Alan Turing

1956

1956

Dartmouth Conference: First AI Conference

1964

1964

ELIZA: First AI based chatbot

1966

1966

Shakey: First AI able to handle both logical reasoning and the ability to move by itself

1968

1968

SHRDLU: Used AI to interpret the natural language of a human user

1974-1980

1974-1980

AI Winter: Period when AI research funding had a decrease

1997

1997

IBM’s Deep Blue beats Gary Kasparov at Chess

2005

2005

AI based recommendation engine used by TiVo Suggestions

2009

2009

Google’s self driving car becomes a reality

2011

2011

IBM’s Watson beats Jeopardy champions

2011

2011

Personal assistants like Siri & Google Now become mainstream

2012

2012

Google’s Artificial Brain learns to find cat videos

2014

2014

2015-2016

2015-2016

OpenAI in 2015. Google’s Deepmind AlphaGo defeats Go’s champion in 2016

Practical applications

AI is already powering a lot of things. With systems like Facebook’s face recognition to speech recognition & chatbots, you probably use it dozens of times a day without knowing it. Some examples of AI used today are listed below. Sourced from Forbes

Customer support

Customer support

Cogito
Lucene

Smart Home

Smart home

Alexa
Next

Self driving

Self driving

Tesla
Leaf200

Personal assistant

Personal assistant

Siri
Google Now

Customer experience travel

Customer experience travel

Boxever
John Paul

Recommendations

Recommen-dations

Amazon
Netflix

Here are some more future focused applications

Cyber Security

Cyber security

Threat detection
Threat neutralization

Disasters

Disasters

Investment research
Risk management

Disasters

Automotive

Deliveries
Driverless cars

Financial services

Financial services

Investment research
Risk management

Healthcare

Healthcare

Manufacturing

Manufacturing

Inventory management
Quality control

Environmental

Environmental

Modeling ecological systems
Resource management

The applications of Artificial Intelligence are many, but it’s just beginning – jump ahead to 2025 and it will be the foundation of just about everything we do.

The future looks bright

Just look at the Artificial Intelligence market over the next few years …

Worldwide Artificial Intelligence Revenue (in millions)

(Note that values are from 0 on the left and 40000 on the right. Sourced from Tractica and Fool)

  • 2016
  • 2017
  • 2018
  • 2019
  • 2020
  • 2021
  • 2022
  • 2023
  • 2024
  • 2025

Looking at the above stats, it is evident that the future of AI is indeed very bright, so if you want your business to stay competitive, then NOW is a good time to incorporate it into your digital strategy!

Linda Misauer

Linda Misauer

Head of Global Solutions at Striata

Linda Misauer is the Head of Global Solutions at Striata and is responsible for technical Research and Development, Operations and Project Management for global initiatives.

Linda previously led the Product Management of the Striata Application Platform before moving across to Striata North America as Chief Technical Officer (CTO). As Product Manager, her responsibilities included internal project management of the product development team, market research & product feature design, as well as the product lifecycle management and quality control. As CTO, Linda was responsible for all technical operations for North, Central and South America, including the Project Management, Support, Production and Data Engineering.

Linda has over 10 years of experience in the IT industry, ranging from video streaming solutions and website application development to electronic billing and messaging. Prior to joining Striata in 2002, Linda held the positions of Chief Information Officer at AfriCam, and was IT project manager at Dimension Data.

Linda studied at the University of Natal - Pietermaritzburg and holds a degree in BSc, Majoring in Computer Science and Economics. Linda also has a Diploma in Project Management.

Read more of Linda's blog posts here or connect with her on the following social channels: