Name: 5 Lessons learnt from 5 real-world AI Deployments
Start: 2019-08-15T09:00:00Z
End: 2019-08-15T09:46:00.000Z
Location: BrightTALK
Rating: 5

SAS is trusted by clients for AI and Machine Learning applications in virtually every industry in the world. We help you understand the benefits of AI and Analytics with industry specific use cases and can partner with you in delivering the benefits of AI to your organisation.

An AI use case in the healthcare industry.

Have you ever wondered where Machine Learning can fit into the healthcare industry to make medical procedures more safe and effective? We will be exploring this with a live demo of a use case where we predict what causes a Stent Failure.

A Stent is a tiny tube that a doctor can insert into a blocked passageway to keep it open, for example to allow blood flow in a blocked up blood vessel. 

In this webinar we will be going over the application of Advanced Analytics and Machine Learning using SAS Viya, as well as exploring open source integration like R/Python to cover the full analytics life cycle. We will also be discussing other use cases of AI in the healthcare industry.

Speaker: Haidar Altaie

Haidar is a Data Scientist at SAS UKI. He joined SAS in September 2018 after graduating from University with a Mathematics and Statistics degree, and is passionate about integrating the analytical skills he’s learned across growing industries to enable customers to solve complex real life issues.

Using Machine Learning to predict Stent Failure

Artificial intelligence (AI) may be the next big opportunity, but what does it really mean for customer experience? Where does automation stop and AI begin? And how should you plan for it in your objectives?

About the webinar:

Most organisations have AI on their agenda, whether they are planning to implement it, are already implementing it or are just experimenting. When considering planning customer experience strategy, when is AI the future of customer experience and when isn’t it?

This webinar will explore common challenges when implementing AI into your customer experience strategy, including understanding what AI really is (and where it’s not just automation), and how best to plan for AI to really meet your business objectives and enhance your customer’s experience.

Why attend?

Get real life examples of where organisations are already using AI to support their customer experience strategy
Understand the challenges of processing and analysing vast quantities of data
Learn what is AI and what is really marketing automation

Speakers:

Tiffany Carpenter, Head of Customer Intelligence Solutions, SAS UK&I

Caroline Hermon, Head of Artificial Intelligence Solutions, SAS UK&I

Is AI the future of Customer Experience?

Cutting through the hype of Machine Learning and AI, we will take you through a practical application of how Machine Learning was effectively used in the insurance industry. Learn how organisations are deriving actionable insight from AI applications and the business value they deliver today. This will further clarify the role of human ML expertise in the development process, both now and in future machine learning and analytics process modernisation

Real world examples of Artificial Intelligence in Insurance

From recognizing faces to processing the live action of a football game, computer vision opens many exciting possibilities.

Find out what it takes to really capitalize on advancements in AI.

Many Data Scientists tend to get very excited about deep learning. And why not? It has strongly contributed to the further development of game-changing applications like computer vision or Neural Language Processing. 

However, before starting any computer vision endeavours, it pays to zoom in on some basics: Using a repeatable end-to-end process – to guide you through image pre-processing, deep learning and productionising your models - will help ensure your deep learning models are as accurate as possible and take your models out of the lab and drive actual business value.

Speakers: Matthew Stainer & Haidar Altaie

Matthew is a Principal Data Scientist at SAS UKI, supporting customers to enhance their businesses decision making. He works across the analytical technologies including data mining and forecasting. His particular areas of interest and expertise is text analysis, identifying the impact of analytical solutions on business processes and communicating the results of analysis to a business audience. He has specific experience in Customer Management solutions, including Complaints Analysis, NPS, Customer Analysis, Optimisation, Decision Management, Recommendation Engines, Campaign Management, Debt Management and Web Analytics.

Haidar is a Data Scientist at SAS UKI. He joined SAS in September 2018 after graduating from University with a Mathematics and Statistics degree, and is passionate about integrating the analytical skills he’s learned across growing industries to enable customers to solve complex real life issues.

How to overcome the challenges of a computer vision project

During this webinar we will discuss how decisions driven by AI and machine learning lead to real-time NBAs, higher revenues and reduced risk.

Customers increasingly want different things from banks. Colleagues need the tools to provide new levels of customer experience. Yet, you may have challenges with too much latency, a lack of granular data or manual processes.

As you adapt to the Open Banking era, you’re looking to drive change at speed, to be able to put the customer at the center of your organisation and make the right decisions, at the right time, to drive the right outcome.

Why attend?

Learn how decisions driven by AI and machine learning lead to real-time NBAs, higher revenues and reduced risk

Understand where to focus your time and investment to identify the customer decisions within the organisation, to quickly prove the value and move that needle to make an impact to the bottom line

Speaker: Tiffany Carpenter, Head of Customer Intelligence Solutions

Tiffany heads up SAS Customer Intelligence Solutions in the UK and brings over 20 years of experience in helping organisations transform customer experience across sales, service and marketing operations.

In her current role at SAS, Tiffany guides organisations on the application of advanced analytics and artificial intelligence to harness customer insights and deliver relevant one-to-one experiences.

Revolutionise your consumer banking experience with AI and Machine Learning

While some still associate Artificial Intelligence with robots taking over the world, we are surrounded by far more realistic and beneficial examples of AI in our everyday life.

Find out how applications of computer vision reinforce the interplay between man and machine. 

About the Webinar:

In the last few years, the field of machine learning has made tremendous progress around computer vision. Convolutional neural networks can achieve reasonable performance on difficult visual recognition tasks – matching or even exceeding human performance in some domains. 

In this session we will explore successful use cases for computer Vision including various industries and aspects of everyday life. We want to uncover the value of moving your AI projects out of the lab and into the business.

Speaker: Federica Citterio

Federica is a Data Scientist at SAS, working across EMEA on the latest SAS technologies involving Artificial Intelligence. She is excited about combining business and data science to help companies make better decisions, grounded in trusted data and assisted by analytics

Federica holds a master’s degree in applied mathematics from University of Milan, majoring in Statistics, Probability and Numerical Analysis.

What is your (Computer) Vision of AI?

About the webinar:

Human trafficking is a global epidemic. The scale, complexity and border-less nature of the abuse can stymie law enforcement, victim support programs and prevention efforts. Data from agencies and organizations focused on human trafficking is vital to these efforts.

However, the amount, variety and unstructured nature of the data can hinder timely, effective responses by organizations with notoriously limited resources.

What if we could use the power of AI to fight for the powerless?

Join SAS public sector expert and text analytics practitioner Tom Sabo as he describes an AI framework for countering international human trafficking.

Learn about:

Applying text-based machine learning and rule-based text extraction to generate training for modeling efforts

Enabling investigators, stakeholders and analysts to tap all the relevant data to inform better decisions

How to extend the AI framework as new techniques and information become available

An Artificial Intelligence Framework to Combat Human Trafficking

Making decisions where data is generated - not where it lives.

About the webinar:

Data science is only of benefit if the output can quickly be put into systems that can use them simply and confidently. This webinar will show how machine learning models can be easily deployed into batch, real time and in stream applications at a click of a button

To allow organisations to seize opportunities and spot red flags hidden in the massive torrent of fast-moving data that flows through, it is critical to analyse this high-velocity big data while it's still in motion – before it is stored – so you can take immediate action on what's relevant, and ignore what isn't.

Speaker: Dean Zouari, SAS AI Global Technology Practice

AI: Turning understanding into Action

What could AI do for your organisation? A review of current real-world examples.

About the webinar
There are many different definitions as to what constitutes a system as artificially intelligent, but simply put AI is the science of training systems to emulate human tasks through learning and automation.

For organisations wishing to implement AI, what tangible use cases should you focus on to deliver business value? This webinar provides real world examples of AI in action, dispelling the myths and focusing on the value it can drive.

During this webinar we discuss:

Real world AI applications generating business value
Cross sector practical applications of AI
Example of an end-to-end automated AI decision capability

Speaker: Iain Brown, Head of Data Science, SAS UK&I

The Art of the Practical - Making AI Real

What could AI do for your organisation? A review of current real-world examples.

About the webinar:

There are many different definitions as to what constitutes a system as artificially intelligent, but simply put AI is the science of training systems to emulate human tasks through learning and automation.

For organisations wishing to implement AI, what tangible use cases should you focus on to deliver business value? This webinar provides real world examples of AI in action, dispelling the myths and focusing on the value it can drive.

During this webinar we discuss:

Real world AI applications generating business value
Cross sector practical applications of AI
Example of an end-to-end automated AI decision capability

Speaker: Iain Brown, Head of Data Science, SAS UK&I

During this on-demand webinar we look at how organisations from multiple sectors are addressing the need to improve the management of customer complaints and making the best decision to improve customer engagement.

About the webinar:

Improving customer experience is of growing importance for organisations in the UK and Ireland. This is underpinned by NPS increasingly being used as a board level compensation measure and the continuing regulator focus on complaint handling.

What you will learn:

What is Voice of the Customer?
The changing landscape of customer interactions and the opportunities this presents
Which areas of the business can benefit most
How to overcome the barriers to integrating analytical techniques into customer interactions
How text analytics is being used across different industries and the results being achieved

Speaker: Matthew Stainer, Principal Data Scientist, SAS UK&I

Using text analytics to deliver exceptional customer experience

During this webinar our experts discuss practical considerations when starting out on your AI journey in the Cloud.

About the webinar:

If you know that you need to get an AI project off the ground quickly, whether it’s due to competitive pressures, to be able to move with greater agility and speed or for testing out different AI scenarios for customer experiences – then deploying the solution via Cloud technologies is probably for you.

In this Webinar we discuss the opportunities you can unlock when deploying SAS AI technology and touch on some of the practical considerations when starting out on your AI journey in the Cloud.

During the webinar we discuss:

Which deployment pattern and platform to choose?
Where do you put your data?
How do you scale your solution?

Speakers:

Doug Green, Technology Advisor, SAS UK&I

Paul Jones, Chief Technology Officer, SAS UK&I

Accelerate your AI projects in the Cloud

Watch the webinar to learn more about what you need to consider to ensure that your AI practices are ethical.

About the webinar:

How you will guarantee AI’s responsible and ethical use? How will you use it for the good of your customers, without detrimental or subversive impacts on them or the markets in which you operate? And how will you use the data AI relies upon both ethically and in alignment with industry regulations? Do you already have the right governance frameworks, storage and security in place?

Speaker: Iain Brown - Head of Data Science, SAS UK&I

Dr. Iain Brown is the Head of Data Science for Financial Services at SAS and Adjunct Professor of Marketing Analytics at University of Southampton working closely with the Financial Services sector, providing thought leadership on the topics of Risk, AI and Machine Learning.

During his time at SAS he has been involved in delivering numerous projects, and driving innovation in the fields of AI and the corresponding fields of machine learning, deep learning and natural language understanding.

How to ensure AI applications are ethical and well governed

During this webinar we will share insights on how you can where to start when using AI to enhance your customers’ experiences, how you can get a powerful recommendation system up and running within hours whilst building trust and loyalty with your customers.

About the webinar
Often, customers don’t know exactly what they’re looking for. They may browse your products, and never see the product that would suit their needs perfectly.

By analysing data from different sources, powerful AI can recommend unique content and tailored offers that will improve your customers’ experiences, catch their attention and generate more sales.

Why attend?

In this webinar, Oliver Sheerin, Customer Intelligence Advisor at SAS UKI will share insights on

Where to start when using AI to enhance your customers' experiences
How you can get a powerful recommendation system up and running
How to build trust and loyalty with your customers

Speaker: Oliver Sheerin, Customer Intelligence Solutions Advisor, SAS UK&I

After spending nearly five years at Amazon.co.uk, Oliver has expertise across a number of retail categories in digital marketing, customer insight and customer engagement roles.

At SAS, Oliver is focused on helping companies improve their customer experience and customer data strategies - and will be sharing his experiences with you today, and throughout a series of webinars over the coming weeks.

CX: Harness the power of AI to deliver highly personalised customer experiences

During this webinar we will share insights on how you can interpret your customer data easily, enable true predictive marketing, and drive a more personalised experience for your customers.

About the webinar:

The data you collect on your customers is an extremely valuable resource. But only if you can analyse and translate it into actionable information that gives you the detail on the person behind the numbers.

Many marketers and organisations don’t know where to start with the data they have and could be focussing on the wrong areas.

Why attend?

In this webinar, Oliver Sheerin, Customer Intelligence Advisor at SAS UKI will share insights on how to

Interpret your customer data more easily
Enable true predictive marketing
Drive a more personalised experience for your customers

Speaker: Oliver Sheerin, Customer Intelligence Advisor at SAS UK&I

After spending nearly five years at Amazon.co.uk, Oliver has expertise across a number of retail categories in digital marketing, customer insight and customer engagement roles.

At SAS, Oliver is focused on helping companies improve their customer experience and customer data strategies - and will be sharing his experiences with you today, and throughout a series of webinars over the coming weeks.

Customer Experience: How to understand customer needs across multiple channels

During this webinar we will share insights on how you can guide your customers on a journey, by delivering dynamic messages and content, that adapts in real time, allowing you to tailor the experience to their needs and help predict behaviour.

About the webinar:

The way your customers engage with you is unpredictable. They use different devices and channels at various times and points in their decision-making process.

Their behaviour may be unpredictable, but they expect a predictable experience from you.

Speaker: Oliver Sheerin, Customer Intelligence Solutions Advisor, SAS UK&I

After spending nearly five years at Amazon.co.uk, Oliver has expertise across a number of retail categories in digital marketing, customer insight and customer engagement roles.

At SAS, Oliver is focused on helping companies improve their customer experience and customer data strategies - and will be sharing his experiences with you today, and throughout a series of webinars over the coming weeks.

Customer Experience: How to guide your customers to where they want to go

During this webinar we will share insights on how you can start your journey to become a testing & learning organisation - and start turning opinion in to fact.

About the webinar:

Many organisations rely on opinion to drive their business decisions which drives their customers' experience.

The time pressure on resources can also mean that non-performing actions or decisions will remain in place. This could simply be that you’re sharing out of stock items on your website which is causing abandoned baskets, or personalisation that isn’t accurate.

Using your customer data to drive a test and learn culture, will help you to make the transition from opinion to fact, by identifying what small, quick tests you can conduct to answer important business questions, improve upon your business KPIs and improve your customer experience.

Why attend?

Learn how to use customer data to drive a test and learn culture
Identify tests to conduct to turn opinion in to fact and drive business decisions
Understand how to improve your business KPI's and improve customer experience

Speaker: Oliver Sheerin, Customer Intelligence Solutions Advisor, SAS UK&I

After spending nearly five years at Amazon.co.uk, Oliver has expertise across a number of retail categories in digital marketing, customer insight and customer engagement roles.
At SAS, Oliver is focused on helping companies improve their customer experience and customer data strategies - and will be sharing his experiences with you today, and throughout a series of webinars over the coming weeks.

Customer Experience: How to use customer data to drive a test and learn culture

Aiming to dispel the AI myth from the AI reality.

This session provides practical real-world applications of AI solutions detailing the lessons learned and the pitfalls to avoid. You will understand the critical factors that will make your AI strategies successful and see what AI could deliver within your organisation.

In addition we will discuss how to make sure AI is ethical by design, and why a governance framework is the crucial first step in ensuring AI is used in the right way.

Speaker: Iain Brown

Dr. Iain Brown (Twitter: @IainLJBrown) is the Head of Data Science at SAS UKI and Adjunct Professor of Marketing Analytics at University of Southampton working closely with the Financial Services sector, providing thought leadership on the topics of Risk, AI and Machine Learning. 

During his time at SAS he has been involved in delivering numerous projects, and driving innovation in the fields of AI and the corresponding fields of machine learning, deep learning and natural language understanding. 

As an experienced public speaker, he has presented at a number of internationally renowned conferences and conventions and has papers published in the European Journal of Operational Research, International Journal of Forecasting and the Journal of Expert Systems with Applications on the aforementioned areas of expertise

5 Lessons learnt from 5 real-world AI Deployments

Artificial Intelligence

Machine Learning

Deep Learning

Ethics

Natural Language Processing

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AI in Risk

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5 Lessons learnt from 5 real-world AI Deployments

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