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 terms
Sourced from Fabernovel
Artificial Intelligence (AI)
Artificial Intelligence is the ability for computers to act without being explicitly programmed, thereby becoming capable of ‘intelligent behavior’.
Machine Learning (ML)
Enables machines to learn for themselves based on data, rather than coding a specific set of instructions.
Deep Learning (DL)
Supervised learning, which involves ‘training and testing’ a machine based on large quantities of labelled data samples.
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
A computer system designed to work by classifying information in the same way a human brain does
Decreasing costs
Decrease in storage, bandwidth & computing costs
Processing power
GPUs make parallel processing faster, cheaper and more powerful
Big data
Access 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
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
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
Artificial Intelligence milestones
1950
Turing tests introduced by Alan Turing
1956
Dartmouth Conference: First AI Conference
1964
ELIZA: First AI based chatbot
1966
Shakey: First AI able to handle both logical reasoning and the ability to move by itself
1968
SHRDLU: Used AI to interpret the natural language of a human user
1974-1980
AI Winter: Period when AI research funding had a decrease
1996
Natural language Speech Recognition was introduced
1997
IBM’s Deep Blue beats Gary Kasparov at Chess
2005
AI based recommendation engine used by TiVo Suggestions
2009
Google’s self driving car becomes a reality
2011
IBM’s Watson beats Jeopardy champions
2011
Personal assistants like Siri & Google Now become mainstream
2012
Google’s Artificial Brain learns to find cat videos
2014
Generative Adversarial Networks first introduced
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
Cogito
Lucene
Smart home
Alexa
Next
Self driving
Tesla
Leaf200
Personal assistant
Siri
Google Now
Customer experience travel
Boxever
John Paul
Recommen-dations
Amazon
Netflix
Here are some more future focused applications
Cyber security
Threat detection
Threat neutralization
Disasters
Investment research
Risk management
Automotive
Deliveries
Driverless cars
Financial services
Investment research
Risk management
Healthcare
Agriculture
Manufacturing
Inventory management
Quality control
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 …
- 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
Vice President, Global Solutions at Striata, a Doxim company.
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:
