Augmented Engineering Intelligence for Industrial Equipments in the Energy Secto
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Augmented Engineering Intelligence for Industrial Equipments in the Energy Sector
Predicting failure is a very well known and difficult problem. There are good reasons for that - known failure modes are scarce, let alone unknown failure modes (dreaded “black swans”), capable of causing the most damage. Also, equipments generate immense streams of multidimensional data, representing highly connected systems, thus anomalous patterns can be easily missed by humans alone. The mostly unlabelled data makes it almost impossible to create an acceptable supervised ML model. Instead, we present an unsupervised deep learning approach, inspired and adapted by the works of Google on smart buildings, to create a set of Early Warning Notifications for industrial equipments.
Bio: Pedro Santos (https://www.linkedin.com/in/pedro-santos-784048193) is the Lead Data Scientist at Digital & Data (Total Energies UK). He is specialised in turning ideas into actionable business insights with machine learning. In 2021, the team which he is part of won the Oil & Gas UK Business Innovation Large Enterprise Award.
Just build it! Tips for making ML Engineering and MLOps Real
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Just build it! Tips for making ML Engineering and MLOps Real
Data science and Machine Learning in an industrial setting are hard. The problems you have to solve are complex, the data landscape is challenging and you often don't have the freedom you would like to design experiments or create observational studies on real-world processes. This is before you even think about how to manage stakeholders, use cloud technologies, write software or wrap your solution up into a product that has to run predictions 24/7/365 and support business operations! In this talk, we reflect on many of the learnings Andy has gained through the past few years working in successful data science and machine learning engineering teams building operational products that create millions of dollars of value. In particular, Andy discusses how he thinks we can 'bootstrap' ML Engineering (MLEng) and MLOps practices in your organization.
Presenter - Andy McMahon
Machine Learning Engineering Lead , NatWest Group
Andy is a machine learning engineer and data scientist with experience of working in, and leading, successful analytics and software teams. His expertise centers on building production-grade ML systems that can deliver value at scale. Andy is currently an ML Engineering Lead at NatWest Group and was previously Analytics Team Lead at Aggreko. He has an undergraduate degree in theoretical physics from the University of Glasgow, as well as Masters and Ph.D. degrees in condensed matter physics from Imperial College London. In 2019, Andy was named Data Scientist of the Year at the International Data Science Awards. He currently co-hosts the AI Right podcast, discussing hot topics in AI with other members of the Scottish tech scene.
Rob Huggins, Director of Academy and Client Services at MBN Solutions | Data IQ 100 2019 & 2020 will be chairing the event.
Sometimes we operate in the shadows and our work stays unnoticed. We are passed for promotions and feel like there is no getting out of this dark corner.
Karen Jean-Francois, analytics manager and producer of the Women in Data podcast
has experienced this situation first hand.
Join her as she talks about the invisible performer and shares tips to help you be more visible and get the recognition you deserve.
As an analytics manager, Karen is passionate about how data science and analytics can support businesses and help them better understand their customers. While she finds digging into data fun, she believes that it comes with responsibility, and her uncompromising focus on data integrity enables her to build trust and strong relationships with stakeholders.
Most of all, she strives to help others craft their own path to personal and professional fulfilment. She believes that focusing on personal development and having access to role models is key to having a successful career – no matter what your definition of success is. This is why she created the Women in Data Podcast in partnership with Women in Data UK. This resulted in an industry recognition as a Twenty in Data and Technology 2020, which awards visible and accessible female role models for the next generations of data professionals.
Speaker - Karen JEAN-FRANCOIS - Analytics Manager | Women in Data Podcast Host and Producer
https://www.linkedin.com/in/karen-jean-francois
Chair - Josh Smith, Client Acquisition Lead at MBN will be chairing the event - https://www.linkedin.com/in/joshsmithmbn
Experimenting with a model or comparing a model's performance with other solutions is often a tricky task. Problems can include absence of an intuitive graphical interface and lack of an SDK that allows this work to be done neatly.
MLflow is a perfect solution. MLflow is an open-source project that covers all the aspects of an ML workflow, from model exploration to production and retirement. Easily integrated into any ML library, it can be run on the cloud and it allows an easy cross-team collaboration. For these reasons, MLflow has been widely used across industries, from Booking.com to Microsoft and Facebook.
In this talk, Stefano Bosisio will explore MLflow Tracking. Tracking allows data scientists to have an intuitive graphical interface to understand and immediately visualise their models' experiments performance and metrics. We will go through a Python SDK implementation of MLflow, to show not only how MLflow is easy to be integrated with custom-based products but also to give data scientists an easy interface to immediately experiment with their models.
Stefano Bosisio is a Machine Learning Engineer at Trustpilot in Edinburgh - https://www.linkedin.com/in/stefano-bosisio1
At Trustpilot, he looks for new solutions to help data scientists better scale up their models and land easily in production.
Before joining Trustpilot, Stefano worked for Sainsbury's Bank. His role involved bringing the bank to a more data-centric position, by creating new models for financial products and paving the road for a new ML infrastructure for model development and deployment.
Stefano holds a PhD in Chemistry from the University of Edinburgh. When he’s not working, Stefano enjoys playing the piano, painting, crocheting (lockdown skills), as well as travelling and getting better and better at baking.
You can read Stefano’s write up on the topic below.
Scale-up your models development with MLflow | by Stefano Bosisio | Nov, 2021 | Towards Data Science
Growing and scaling a Data team can be tough. With obstacles ranging from outdated technology to stakeholder resistance and everything in-between, the journey of a Data Leader in building a successful Data team can be fraught with difficulty.
Join us as we hear from an expert panel who have successfully negotiated this path in a variety of different business environments and hear their views on areas such as vison and strategy, technology and tools, people and purpose.
Chair - Robin Huggins (Client Services Director - https://www.linkedin.com/in/robinhuggins)
Panel
Elizabeth Hollinger (Director of Insight | Data | Applications Development at Aggreko - https://www.linkedin.com/in/elizabeth-hollinger-31055234)
Warwick Beresford-Jones (Data Science veteran of 20+ years - https://www.linkedin.com/in/warwickberesfordjones)
Mark Hunter (Director Of Analytics at Wise | ex Chair at The Data Lab - https://www.linkedin.com/in/markjhunter)
Vicky Byrom (Director of Product / Data at Modulr - https://www.linkedin.com/in/vicky-byrom-00270582)
The event will be taking place at 2pm at the DigitExpo in Edinburgh - You can register here and attend the full event or just this event - https://digit-expo.com/register/
Join us on Wednesday 17th November at 12:30 as we discuss neurodiversity in tech.
We have a great panel lined up, ready to engage in an interesting discussion and answer your questions.
Bethany Rodgers-Rintoul, MBN Solutions will be joined by:
David Boyle; VP at Morgan Stanley, Tony McCaffery; Founder of Diversity Scotland, and Ric Clark; Data Modeller at Miller Homes.
An estimated 1 in 7 people are neurodivergent and organisations are becoming increasingly aware of the benefits that they can add to their workforce.
Together, we will discuss the importance of neurodiversity in tech, how to embrace neurodiversity, what progress has been made and what still needs to be done.
How to Share Terabytes of Live Data with Delta Sharing
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In this technical session DataBricks' Frank Munz, will introduce Delta Sharing, a Linux Foundation open source solution for sharing massive amounts of live data in a cheap, secure, and scalable way.
Delta sharing uses pandas or Apache Spark for the real-time exchange of large data sets, enabling secure data sharing across products for the first time. It leverages modern cloud object stores, such as S3, ADLS, or GCS, to reliably transfer large data sets. An open-sourced reference sharing service is available to get started.
Within the Databricks ecosystem, Unity Catalog implements the open source Delta Sharing protocol, so you can share data across organization regardless of system boundaries, compute platform or cloud provider.
This is a technical session with difficulty level easy/medium (L300).
Speaker Bio
Dr. Frank Munz is a Staff Developer Advocate at Databricks. He is the published author of three computer science books. Frank built up technical evangelism for Amazon Web Services in Germany, Austria, and Switzerland. He is a certified AWS and GCP Professional Cloud Architect and ML/Data Engineer. Frank fullfilled his dream to speak at top-notch conferences on every continent (except antarctica, because it is too cold there). He presented at conferences such as Devoxx, Kubecon, re:Invent, Voxxed Days, and Java One. He holds a PhD in Computer Science from TU Munich.
When Frank is not working, he enjoys travelling in Southeast Asia, skiing in the Dolomites, tapas in Spain, and scuba diving in Australia.
Data Visualisation, Machine Learning, and Data Science techniques can be used to help organizations make better, more environmentally conscious decisions.
Whether it is using cutting-edge AI techniques to improve sustainability, using data to make smarter decisions about cycle paths, or using predictive analytics to help plan visitor influxes.
Some organizations are doing amazing things with their data, influencing positive change and inspiring others!
With COP26 taking place in Glasgow in November, we have gathered industry experts to discuss sustainability in their fields.
We will be joined by:
Cecilia Oram- Project Delivery Manager at Sustrans
Stevie Revill- CEO at UrbanTide
Charlotte Wallace- Climate Action Manager and Sustainability Specialist at Loch Lomond and the Trossachs National Park
Data Visualisation, Machine Learning, and Data Science techniques can be used to help organizations make better, more environmentally conscious decisions.
Whether it is using cutting-edge AI techniques to improve sustainability, using data to make smarter decisions about cycle paths, or predicting trends in visitor numbers to improve and monitor change.
Some organizations are doing amazing things with their data, influencing positive change and inspiring others!
With COP26 taking place in Glasgow in November, we have gathered industry experts to discuss sustainability in their fields.
We will be joined by:
Cecilia Oram- Project Delivery Manager at Sustrans
Stevie Revill- CEO at UrbanTide
Charlotte Wallace- Climate Action Manager and Sustainability Specialist at Loch Lomond and the Trossachs National Park
Data Visualisation, Machine Learning, and Data Science techniques can be used to help organizations make better, more environmentally conscious decisions.
Whether it is using cutting-edge AI techniques to improve sustainability, or using data to make smarter decisions about cycle paths. Organizations can use their data in all different, but good ways to influence positive change.
With COP26 taking place in Glasgow in November, we have gathered industry experts to discuss sustainability in their fields.
We will be joined by:
Cecilia Oram- Project Delivery Manager at Sustrans
Stevie Revill- CEO at UrbanTide
For brands to get value from their Martech in the future, connectivity must become the priority. The Martech space has exploded in terms of roles, tools and platforms – with Chiefmartech.com reporting over 8000 vendors in 2019.
But are technologies being created to resolve specific problems? CMO’s have long been promised ROI through digitisation of key systems, bringing in new niche platforms, but they are still reporting 58% of martech technologies are not fully leveraged.
In this webinar, Kerry Dawes, Technical Director, Digitas UK discusses her experience both client slide and agency side to explore:
- Building a martech stack that works for your business
- Common pitfalls and learnings
- Making it happen and getting value early on
Kerry is responsible for the technical direction through to the implementation & realisation across a range of Digitas programmes spanning CMS, Martech, CRM, Personalisation and much more. Her focus and expertise is to bring data and technology together, to enable brands to achieve a great customer products and experience. Furthermore, Kerry designs architectures & approaches that allow brands to not only achieve their immediate goals but set them up for success into the future.
With her experience at The Rank Group & TUI most recently, Kerry has a wealth of hands-on experience delivering global, transformational programmes that ensure businesses connected, real time journeys at scale.
Digitas is the Connected Marketing agency, built on the principle that there are better ways for brands to connect with people. We combine the power of data, strategy, technology, creativity and media to deliver connected experiences which bring brands to life, for the customer, through the experience, and on the balance sheet.
A Leader in Gartner’s Magic Quadrant for Global Marketing Agencies for six consecutive years, Digitas serves the world’s leading brands through a global network comprising more than 4,000 employees across over 30 countries
Martech – Connectivity is the priority for 2021 and beyond.
For brands to get value from their Martech in the future, connectivity must become the priority. The Martech space has exploded in terms of roles, tools and platforms – with Chiefmartech.com reporting over 8000 vendors in 2019.
But are technologies being created to resolve specific problems? CMO’s have long been promised ROI through digitisation of key systems, bringing in new niche platforms, but they are still reporting 58% of martech technologies are not fully leveraged.
In this webinar, Kerry Dawes, Technical Director, Digitas UK discusses her experience both client slide and agency side to explore:
- Building a martech stack that works for your business
- Common pitfalls and learnings
- Making it happen and getting value early on
Kerry is responsible for the technical direction through to the implementation & realisation across a range of Digitas programmes spanning CMS, Martech, CRM, Personalisation and much more. Her focus and expertise is to bring data and technology together, to enable brands to achieve a great customer products and experience. Furthermore, Kerry designs architectures & approaches that allow brands to not only achieve their immediate goals but set them up for success into the future.
With her experience at The Rank Group & TUI most recently, Kerry has a wealth of hands-on experience delivering global, transformational programmes that ensure businesses connected, real time journeys at scale.
Martech – Connectivity is the priority for 2021 and beyond.
Description changed:
Martech – Connectivity is the priority for 2021 and beyond.
For brands to get value from their Martech in the future, connectivity must become the priority. The Martech space has exploded in terms of roles, tools and platforms – with Chiefmartech.com reporting over 8000 vendors in 2019.
But are technologies being created to resolve specific problems? CMO’s have long been promised ROI through digitisation of key systems, bringing in new niche platforms, but they are still reporting 58% of martech technologies are not fully leveraged.
In this piece, Kerry Dawes, Technical Director, Digitas UK discusses goes through her experience both client slide and agency side to explore:
- Building a martech stack that works for your business
- Common pitfalls and learnings
- Making it happen and getting value early on
Kerry’s responsible for the technical direction through to the implementation & realisation across a range of Digitas programmes spanning CMS, Martech, CRM, Personlisation and much more. Her focus and expertise is to bring data and technology together, to enable brands achieve a great customer products and experience. Furthermore, she helps brands define their future goals and designs architectures & approaches that allow them to not only achieve their immediate goals, but set them up for success into the future.
With her experience at The Rank Group & TUI most recently she has a wealth of hands-on experience delivering global, transformational programmes that ensure businesses to achieve, connected, real time journeys at scale.
Digitas:
At Digitas, we have a different set of ingredients to supercharge customer engagement is a to deliver connected brand experiences with the customer at the heart of everything.
With our diverse ingredients and connected experience approach, we are able to orchestrate the full brand experience across all channels, to put customers at the heart of it, widening interactions to deepen your customer relationships.
In a hyper-competitive market, using data to design games and target player behaviours can significantly improve game launches, performance, and success rates.
Learn how this concept connects companies as disparate as Spotify, Nike, Netflix and Mercedes F1.
Chris’ Bio (Presenter)
Chris Conroy - https://www.linkedin.com/in/chrisconroydata
Chief Data Officer
I've been leading the charge on data science within gaming for years, and I joined Future Anthem to deliver machine learning to the industry at a truly vast scale. Building teams is my passion, and I'm obsessive about enabling them to drive us forward, with cutting edge tech at their disposal. My anthems are techno, football and beer, mixed with a sample of poker.
Future Anthem builds AI solutions that enable the gambling industry to quickly optimise their game portfolios, increase player engagement responsibly and drive actions in real-time. We call this Game Data Science. We are Future Anthem.
Josh Smith, Client Acquisition Lead at MBN Solutions will be chairing the event - https://www.linkedin.com/in/joshsmithmbn
Join us for an excellent presentation followed by a Q&A session.
Talk title: sust-AI-nable
Talk subtitle: Sustainability in AI
Have you ever considered the difference between Sustainability in AI versus AI for Sustainability? I believe we all know what AI for Sustainability is – utilising data science to support with environmental sustainability initiatives. But have you ever thought about the environmental impact of running code or training algorithms? What impact does the industry of data science have on the environment and how can we improve it? Come join this talk to learn more about how you can be more sustainable in your data science practice through doing AI that matters.
Presenter - Marta Portugal
Marta is the Director of Data Science at Forth Point, a data science and data engineering start-up with a focus of delivering on the promise of Industry 4.0. Across her 10-year long career in data, Marta specialised in the commercial applications of data science and worked on several industry-leading projects that operationalised AI and computer vision to drive tangible business change and value. She is a cat-loving, problem-solving person who had never stopped to wonder what the environmental impact of her job was (until now!).
Robin Huggins, Client Services Director at MBN Solutions will be chairing the event - https://www.linkedin.com/in/robinhuggins
Join us for an excellent presentation followed by a Q&A sess
Talk title: sust-AI-nable
Talk subtitle: Sustainability in AI
Have you ever considered the difference between Sustainability in AI versus AI for Sustainability? I believe we all know what AI for Sustainability is – utilising data science to support with environmental sustainability initiatives. But have you ever thought about the environmental impact of running code or training algorithms? What impact does the industry of data science have on the environment and how can we improve it? Come join this talk to learn more about how you can be more sustainable in your data science practice through doing AI that matters.
Presenter - Marta Portugal
Marta is the Director of Data Science at Forth Point, a data science and data engineering start-up with a focus of delivering on the promise of Industry 4.0. Across her 10-year long career in data, Marta specialised in the commercial applications of data science and worked on several industry-leading projects that operationalised AI and computer vision to drive tangible business change and value. She is a cat-loving, problem-solving person who had never stopped to wonder what the environmental impact of her job was (until now!).
In Exploring The Future of Talent, business leaders from the technology and data industries will be discussing the changing shape of their industries.
Alongside taking questions from the audience, the panel will be discussing their areas of the whitepaper in-depth, including how to attract and retain top talent, how to navigate Brexit. leading businesses with purpose and creating diverse and inclusive teams.
Join us for an afternoon of debate, discussion and insights into how data and technology companies can capitalise on new ways of working and an more mobile workforce.
The panelists are:
Samantha Bedford, Chair, Scotland Women in Technology - https://www.linkedin.com/in/samanthabedford
Rob Huggins, Client Services Director, MBN Solutions.
https://www.linkedin.com/in/robinhuggins
Paul Forrest, Non-Executive Director, MBN Solutions.
https://www.linkedin.com/in/pdf66
Gillian Docherty OBE, CEO, The Data Lab - https://www.linkedin.com/in/gillian-docherty
The panel will be chaired by LGBTQ+ advocate and MBN Marketing Manager, Seb Mackay - https://www.linkedin.com/in/sebastianmackay
Download The Future of Talent whitepaper for free here: https://info.mbnsolutions.com/the-future-of-talent
At this panel discussion, looking at Pride in the technology and data industries, hosted by MBN Marketing Manager and co-author of The Future of Talent whitepaper, Seb Mackay we're looking at Pride in the technology and data industries, where progress needs to be made and how far we've come.
Seb is joined by Rich Wilson (Gartner) and Frida de Sigla (who works in Artificial Intelligence).
Diversity, Inclusion and Belonging in Tech and Data
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Join MBN's Bethany Rodgers-Rintoul as she hosts a panel discussion on diversity in STEM and why having a diverse workforce matters.
Bethany will be joined by Amber Lawther (BI and Analytics, NHS NSS), Duncan Hart (CEO, Deepminer) and Fash Fasoro (Data Governance, HomePointr, and Programme Director at The DataKirk) in talking about why diversity is fundamental to the growth and development of any organisation and how to create an inclusive environment that recognises, appreciates and embraces everyone.
We will discuss all types of diversity- gender diversity, sexual orientation and able-bodied-ness are just a few of the important aspects that need to be included in the conversation.
Diversity refers to difference and difference is what makes us all unique and should be a celebrated attribute.
How to showcase your skills and get ahead of the competition.
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How to showcase your skills and get ahead of the competition.
The competition for Data Science & Analytics jobs is intense - but so many applicants aren't showcasing themselves in a way that gets the attention of recruiters & hiring managers. Whether it's your Resume, your portfolio of projects, or how you prepare for, and answer questions in interviews - let me show you some really simple but highly effective changes you can make to get ahead of the competition.
Speaker:
Andrew Jones - Founder & Director at analytics-link
https://www.linkedin.com/in/andrew-jones-data-science-infinity-52a35aa
Andrew has spent 14+ years in Data Science & Analytics at companies including Amazon & more recently Sony PlayStation where I developed and prototyped Machine Learning based features for the PlayStation 5, several of which have been patented by Sony. During his career, he has interviewed & screened hundreds of Data Science candidates, and through this process he has learned what can differentiate a stand out & successful candidate from the rest.
He is the author of "The Essential A.I. & Data Science Handbook For Recruitment" and is currently the founder and lead instructor at DATA SCIENCE INFINITY - a leading online Data Science learning programme focused on getting students the results they want!
The July instalment of the North East Data Meet-up is here. Looking at Scotland’s role in the future of the space industry and the unique insights that the data gathered in this domain can provide.
Look out for speakers to be announced shortly!!
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AGENDA -
6pm. Virtual Networking In the form of Break-out Rooms from 6pm.
6:15 Until 6:45pm. Speakers.
6:45pm. Open Q&A + Discussion
Zoom Link will be made available to those who RSVP, password will be sent out 24hours prior to the event. Look out for the Email!
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Talk 1 - PlanetaryAI
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Talk 2 - TBA
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Co-hosted by The Data Lab Scotland, Scotland IS and Opportunity North East
The Next Frontier... - North East Data Meetup, June 2021
Description changed:
The November instalment of the North East Data Meet-up is here. Looking at Scotland’s role in the future of the space industry and the unique insights that the data gathered in this domain can provide.
Look out for speakers to be announced shortly!!
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AGENDA -
6pm. Virtual Networking In the form of Break-out Rooms from 6pm.
6:15 Until 6:45pm. Speakers.
6:45pm. Open Q&A + Discussion
Zoom Link will be made available to those who RSVP, password will be sent out 24hours prior to the event. Look out for the Email!
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Talk 1 - PlanetaryAI
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Talk 2 - TBA
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Co-hosted by The Data Lab Scotland, Scotland IS and Opportunity North East
Starting a career in Data Science- Advice from industry experts
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Starting a career in Data Science- Advice from industry experts.
Data is the future and Scotland is at the forefront. We have an open and welcoming data community and some of the most innovative organizations in the world call Scotland home.
Scotland's industry and community are underpinned by a considerable number of universities, colleges, and specialist courses that are dedicated to upskilling our population in the most relevant and cutting-edge data skills.
Scotland is a great place to start your career in Data Science, but as always, there is no single right path - everyone has their own story - and at this event, we will hear from 2 individuals who have taken different directions to be recognized as influencers in Data Science.
Barry Smart – Consultant at Endjin
https://www.linkedin.com/in/barryjasmart
Delphine Rabiller – Data Scientist at Mallzee
https://www.linkedin.com/in/delphinerabiller
Hosted by Project Manager at MBN Academy, Bethany Rodgers-Rintoul
https://www.linkedin.com/in/bethanybrodgers
Agenda
12-12:10 - Introduction to the session
12:10 - 12.25- Barry Smart of Endjin discussing his career
12:25 -12:40- Delphine Rabiller of Mallzee discussing her career
12:40 - 12:50- Bethany at MBN Academy discussing the importance of social media and networking
12:50 -1:20- Panel discussion
1:20 - 1:30- Closing of event.
Presenter - Alexey Grigorev - Lead Data Scientist at OLX Group
https://www.linkedin.com/in/agrigorev
3 Hacks to Accelerate your Data Science Career
Alexey lives in Berlin his wife and son. He works as a lead data scientist at OLX and he runs DataTalks.Club — a community for data enthusiasts.
Alexey wrote a few books about machine learning. One of them is Machine Learning Bookcamp — a book for software engineers who want to get into machine learning.
Robin Huggins, Client Services Director at MBN Solutions will be chairing the event - https://www.linkedin.com/in/robinhuggins
Join us for an excellent presentation followed by a Q&A sess
Creating Great Analysts - How to Build and Identify Skills in Your Team.
Description changed:
Creating Great Analysts - How to Build and Identify Skills in Your Team.
Presenter - Martin Squires – Director of Advanced Analytics – Pets at Home - https://www.linkedin.com/in/squiresmartin
Selected 6 times as a member of the Data IQ Data 100, Martin is an experienced customer insight, marketing analytics and data science professional, operating as a senior business leader across retail and financial services.
With a proven track record building and leading customer analysis, data science, research & insight teams and delivering large scale IT/data projects as part of multi-million pound development and transformation programmes, he believes customer & marketing analytics are vital for successful organisations and that the leading organisations have 3 key things in common.
- They will have access to the best data
- They will have the best ability to generate insight from that data
- They will use those insights to execute best at moment of truth
Join us for an excellent presentation followed by a Q&A session.
The most frustrating part of being a Data Scientist and Analyst.
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The most frustrating part of being a Data Scientist and Analyst.
In this presentation, Dr Shorful Islam will discuss his theory that - how no matter how well you do a piece of analysis - the business does not always take on board your recommendations and insights.
Describing this as “a common occurrence”, Shorful will provide some practical tips on how you can minimise the risks of this happening.
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Dr Shorful Islam is Chief Product & Data Officer at OutThink, the world’s first predictive human risk management solution.
He is also the Chief Data Scientist for Tribal Worldwide, where he leads its Data Science Practice, and the Founder of Subatomic Analytics, a data analytics consultancy.
He has worked at, and advised, some of the world’s largest organisations on data strategy, data analytics and data science. His previous roles include Managing Director and co-founder at Stream Intelligence (a Data Science Consultancy based in London and Jakarta), Managing Partner, Data and Insights, at Wunderman, Head of Data at adam&eve/DDB, and Head of Business Information and Customer Data Strategy at ITV. He has also worked across the NHS and local government
Dr Shorful started his career as a lecturer after completing his PhD in Psychology, where his dissertation focused on predicting accidental injuries in children.
Lakehouse : what it is and how can transform your company
Description changed:
** We are aware this is another fairly technical event, we will be adding a more Analytics focussed event today or tomorrow for the same week **
Dr. Guillermo G Schiava D'Albano –
Team Lead Nordics SA - Solution Architect at Databricks -https://www.linkedin.com/in/g-schiava
Lakehouse : what it is and how can transform your company
Traditional EDW are good to store structure data, with a high cost per GB.
Traditional Data Lakes on the cloud are good to store unstructured data, not supporting classic ACID operations found on EDW.
At the same time Data lakes have lower cost per GB than a traditional EDW.
AI usually requires the combination of different sources structured and unstructured.
The traditional way to solve the shortcomings of these technologies is to combine them with difficult to main ETLs
Lakehouse is a new open architect that combines the best elements of EDW and Data Lakes. On top of open standards that allows costumes to never be vendor lock.
Darren Moffat @ MBN Solutions will be the chair for this event - https://www.linkedin.com/in/darren-moffat
What to do with your data in a serverless world - Angela Timofte @ TrustPilot
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What to do with your data in a serverless world - Angela Timofte @ TrustPilot
Angela Timofte (Presenter) - Data Platform Manager at Trustpilot | AWS Hero | Winner Developer of the Year - https://www.linkedin.com/in/angela-timofte-it
From SMBs to Enterprises, everyone is trying or wants to go serverless first, however many times we don’t hear about what we should do with the data, how to store it, where to store it, and what options is AWS offering us.
Throughout my presentation, I’d like to showcase how Trustpilot is thinking about data storage when creating new applications or migrating old ones together with examples of struggles and learnings from these experiences.
Darren Moffat @ MBN Solutions will be the chair for this event - https://www.linkedin.com/in/darren-moffat
The 3rd party cookies which have supported targeted advertising are disappearing, how will marketers react and what is the solution? 1st party data holds a major source of alternative value and has long been heralded as the great hope. Hear how some of the UK's leading insurers, telcos and utilities are accelerating their response and realising the value of 1st party data-driven advertising.
Loop Horizon enables brands to unlock the value of this 1st party data in a compliant, low latency and and efficient manner, leveraging the native benefits of cloud platforms such as AWS, GCP, Azure or Snowflake to connect customer audiences to advertising & marketing platforms. Having led the data & digital transformation at Sky Rob McLaughlin & James Alexander co-founded Loop Horizon and now support the world's biggest brands in driving value from cloud data for advertising & marketing benefit.
Hear co-founder Rob McLaughlin's perspectives on the industry and why Data teams are destined to be the best friend of Marketing. Looking forward to sharing, answering questions and lively discussion on the future of data for marketing.
Rob McLaughlin - Co-Founder @ Loop Horizon - https://www.linkedin.com/in/robanalytics
The Data Lab MSc Placement Programme Launch Event - 8th December @ 12pm
For the 5th consecutive year MBN are delighted to be the delivery partners for The Data Lab’s MSc Placement Programme.
Following the success of the Programme, we are looking to place even more students into industry than before and are hosting a virtual event to give organisations all the information that they need to take part in the Programme. We aim to give an overview of the Programme and answer any questions that you may have.
We are looking for industrial placement opportunities for 160 MSc Students. We have partnered with The Data Lab to provide 8 – 12 weeks summer placements in Scottish organisations as an option to all students on the Programme.
This collaborative Programme covers 29 Data Science and AI courses across 12 Scottish Universities.
The rules of the Programme have slightly changed this year- all placements need to have the ability to be undertaken on a remote basis. This opens the opportunity for SME’s/ start-ups, or even those with limited office space to get involved.
During this event, previous Host Organisations will share their experience with the Programme. We will also hear from a previous student who will you insight into her experience.
Hosts-
Introduction to The Data Lab: Marian Dunbar - https://www.linkedin.com/in/marian-dunbar and Cheryl Stewart, Placement Co-ordinator, The Data Lab
Introduction to the Programme: Bethany Rodgers-Rintoul, MBN Solutions - https://www.linkedin.com/in/bethanybrodgers
Speakers-
Andrew Conkie - Data Scientist at Red Star - https://www.linkedin.com/in/andrew-conkie-44018713
Karen Jewell – Data Scientist/ Data Lab Student from 2019/20 cohort - https://www.linkedin.com/in/karjewell
Elizabeth Hollinger – Director of Insight | Data | Applications Development at Aggreko - https://www.linkedin.com/in/elizabeth-hollinger-31055234
Think Differently about Data-Driven Transformation
Description changed:
‘Think Differently about Data-Driven Transformation’
Tony Brown, Managing Director at Prickly Cactus, will be presenting - https://www.linkedin.com/in/tonybrown4
Tony is former Head of 121 Marketing at Lloyds Banking Group and VP of Product Management at Teradata. Now CEO of Prickly Cactus, a consultancy working with enterprises to optimise their data, analytics and decisioning capabilities to improve CX and profitability.
Tony will present for around 30 mins and we can follow up with a Q&A discussion.
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