- Data Scientist - Corporate vs Start-up
Data Scientist - Corporate vs Start-up For many data scientists, the thrill and excitement of joining a start-up is what they have worked towards for much of their life to date. However, for others, the challenges of plying their trade in the context of a corporate strategy is regarded as even more fulfilling in that opportunities exist: § to deepen domain expertise § solve complex business problems § Create broad value to household name organisations In some cases, such opportunities may not be mutually exclusive so join us on the 25th June at 12pm GMT for a discussion on the differences between deployment of data scientists in differing business models and what it means at a personal level for: § Career development and job satisfaction § Development of deeper data skill and domain expertise § Cultural differences and challenges that ensue § How to make the best of your career choices Event Chair: Paul Forrest, Chairman at MBN Solutions - https://www.linkedin.com/in/pdf66 Panel: Jedidiah Frances - CEO of Jed.ai -https://www.linkedin.com/in/jedidiah-francis Chanuki Illushka Seresinhe - Lead Data Scientist at Popsa & Visiting Researcher at the Alan Turing Institute - https://www.linkedin.com/in/chanukiseresinhe Ben Taylor - Chief AI Evangelist at DataRobot - https://www.linkedin.com/in/bentaylordata Vicky Byrom - Head of Analytics at Aquila Insight - https://www.linkedin.com/in/vicky-byrom-00270582
- Adding Commercial Value with Analytics and Data Science: Are you selling......
Adding Commercial Value with Analytics and Data Science: Are you selling buckets or mining gold? Point of the talk: Whether you are running an analytics function, acting as a consultant / contractor or an individual data science professional – chances are you need to be adding commercial value with your analytics. But, just like in the California gold-rush – you can make money (add-value) by panning for gold, or you can make a good living selling buckets and shovels. Too often analytics gets side-tracked into providing models, dashboards, datasets etc. instead of monetizable insights. Why is this and how do you avoid it? Key points covered: • The importance of adding value through analytics • Recognising the distinction of actually uncovering valuable insights (mining gold) versus building tools to help others do that (selling buckets)? • Why it is so easy to get caught up in the “buckets business”? • Why can it be dangerous / self-defeating (some war stories)? • What can you do to ensure you are genuinely “mining for gold”? Presenter - Nick Hall - https://www.linkedin.com/in/nick-hall-3a2a5 For the last 6 years he has led the Barclays Analytics Centre of Excellence – a team of 140+ analytics and data science professionals who use analytics to grow the Barclays retail and business banking franchise as well as build data products derived from the bank’s transactional data. He started life as a geek, when it was much less cool: pre-web and practically pre-PC. He spent 6 years at IBM and then 16 years as a strategy consultant building and deploying data capabilities for clients in financial services and the consumer goods sector (mainly beer). His focus was on analysing customer-level behaviour data and blending this with research-based insights – to grow revenues, manage for value, manage risk or optimise capital use. Both his personal and professional interest now is in pursuing his ‘geeky origins’ and helping businesses drive more commercial and strategic value out of their data through the application of data science, AI, human creativity and managing the business decision-making process.
- Highlands Data Meet-up with LifeScan Scotland, Inverness
Link will be made available to those who RSVP. Password for this event is: meetup We will be welcoming a trio of speakers from LifeScan Scotland on the data life cycle in the medical device Industry. LifeScan Scotland has more than 35 years continuously moved diabetes care forward through advancing technologies and developing products defined by simplicity, accuracy and trust. From OneTouch® brand blood glucose meters, test strips, and lancets to integrated digital systems, therapeutics, and hospital point-of-care systems, LifeScan is committed to offering best-in-class products and technology-driven solutions. ◆ The Lifecycle of SMBG Customer Data – David Mccoll, Staff Scientist and Andrew Finlayson, Principal Engineer ◆ Predicting Product Performance in the hands of the customer – Jeffrey Rodger, Staff Statistician ◆ The Manufacturing Data Map - David Morris, Staff Scientist Manufacturing Engineering
- Overcoming the challenges of data science deployment
Overcoming the challenges of data science deployment In this webinar, Bellrock Technology Product Manager, Dr. David Bell, discusses how to overcome the challenges of data science deployment. With 4 out 5 data science projects failing to make it into production, deployment is a key issue for the industry and will be a key area to generate ROI and unlock future investments across pretty much every market sector. Spoiler alert! Deploying data science is hard. Organisations have data siloed across a wide range of sources with a varied range of quality and accessibility. The models created are increasingly complex and written in languages that are unknown to many IT professionals (who have their day to day challenges). Then, to compound the pain, business users have exceptionally high levels of expectations for strong visualisations and real time insights delivered to their platforms of choice. It is little wonder that Data Scientists end up spending most of their time piecing all of this together rather than doing what they are good at, building models for your organisation. During this session David will discuss: • Why is Data Science deployment so hard • Expectations vs reality • Overcoming the 5 main challenges • What could a solution look like Dr. David Bell, Product Manager, Bellrock Technology David Bell has a PhD in Artificial Intelligence and is the Product Manager with Bellrock Technology. Having spent years developing and delivering data driven solutions in both academic and industrial contexts, he is now leveraging that experience to drive forward the product vision for Lumen, Bellrock Technology's intelligent deployment platform. Bellrock Technology Bellrock Technology is a software company based in Glasgow. The company was founded to help large organisations become data-driven. Our customers deploy their models utilising their live and static data to deliver maximum business value to their companies. Bellrock Technology developed Lumen®, the world’s most advanced analytics deployment platform, in order to instantly turn trained data science models into live, useful data analytics. Its patented technology removes traditional integration and deployment challenges, automatically creating complex data-pipelines and making results immediately available to end users.
- The Data Science Behind Formula1 - Webinar
UPDATE - This meetup will be going ahead however we will be running a live stream webinar instead. Speaker Colin Gray, Data Scientist, TIBCO Colin Gray is a data scientist working for TIBCO within their global data science team. As part of TIBCO's partnership with the Mercedes-AMG Petronas Formula One, Colin plays an active role working with the team and TIBCO's own Formula 1 simulator. In general, his career in data analytics, modelling and data science has spanned over 20 years having worked in multiple industries. Most recently this included being the lead data scientist for the Scottish Environment Protection Agency prior to joining TIBCO. He has a real passion for bringing analytics and data science to a wider audience and making it as accessible as possible. Talk summary: Data Science is having an increasing impact in sports. TIBCO actively supports teams such as Mercedes-AMG Petronas Formula One, TIBCO-Silicon Valley Women’s cycling and the NFL. In this talk we cover our partnership with the Mercedes-AMG Petronas Formula One team as well as demonstrate with our own Formula One simulator how TIBCO technologies are used to analyse lap performance, predict lap times and the likelihood of a crash occurrence. We will give live demonstrations of the data science we use, as well as discuss the full data science life cycle from how we analyse lap data from our simulator, to building models, model deployment and taking action from the findings. Agenda 7:00 PM – 7.45 PM: Colin Gray, Data Scientist, TIBCO 7.45 PM - 8.30 PM: Q&A https://tibco.zoom.us/j/96829895634?pwd=ZEJweXZ5OWRBNXc2UmJoSkp2MlhPUT09 Meeting ID:[masked] Password:[masked]
- VIRTUAL EVENT: Why Collaboration is at the heart of Success in Data Science
Join us as we partner with MBN and GFK on 23rd April at 6pm GMT to bring you a virtual event where we explore the topic ‘Why Collaboration is at the Heart of Success in Data Science’. EVENT INFO: As Data Science continues to become a focus for an increasing number of enterprises, many organisations are realising just how expansive the subject is and the critical dependency on alignment with other new and emerging technologies and systems such as machine learning and artificial intelligence. Clearly, such activities depend upon talent to ensure full potential is achieved. Many enterprises underestimate the importance of having the right people and skills in place to maximise the prospects on offer. But this is only the start. Beyond such skills and technologies, a real cultural shift must be achieved. Collaboration is at the heart of this shift. Strategy, Data Engineering, Product Development, Statistical Modelling and Data Science require a string team-based ethic matched with aligned goals, shared vision and delivery excellence to deliver outcomes that matter. Due to the current circumstances with COVID-19 and postponing the original event to be held in London, we have decided to reschedule and hold a Virtual event. We hope you can join us on Zoom! Speakers: Dr. Markus Ziegler, Head of Data Science at GfK - https://www.linkedin.com/in/markus-ziegler-1b540743 Yu Fu, Principal in Global Data Science Team at GfK https://www.linkedin.com/in/yu-fu-11630716 Jan Teichmann, Senior Data Science Consultant at Trainline https://www.linkedin.com/in/janteichmann Chair: Paul Forrest, Chairman at MBN Solutions https://www.linkedin.com/in/pdf66 AGENDA: 6pm-6.10pm: Introduction – Paul Forrest, Chairman at MBN Solutions 6.10pm-6.40pm: Presentation and Q&A – Dr. Markus Ziegler, Head of Data Science and Yu Fu, Principal in Global Data Science Team at GfK 6.40pm-7.10pm: Presentation and Q&A – Jan Teichmann, Senior Data Science Consultant at Trainline 7.10pm.-8.00pm: Q&A See full details here - https://www.mbnsolutions.com/event/virtual-event-why-collaboration-is-at-the-heart-of-success-in-data-science/ Please REGISTER here - https://zoom.us/webinar/register/WN_QqqQL45_SPeyjr34aCcxtQ
- POSTPONED Data Trusts and Data Viz - Aberdeen Apr 2020 Data Meetup
We've been informed that ONE Tech Hub, our venue are closing Studios One and Two until the end of April 2020. This event will not go ahead on the planned date. We're looking at options such as running it at the May date, assuming we get an all clear for then. We will announce that ASAP. ================================= This will be a joint event with the Project Data Analytics group who are now running their own meet-ups in Aberdeen Pizza, beer and networking 6.30pm. Speakers from 7pm. Talk 1 - "Can we reinvent how we deliver projects by leveraging data?" - Stephen Ashley / Andrew Buchan and Martin Paver Imagine a future where we can securely pool project delivery data for the benefit of all. Where we reduce the barriers to entry for innovators. Where we begin to value the hard won experience that is codified in data and facilitate access to data to help drive AI based insights. The Oil and Gas Authority, Oil and Gas Technology Centre and Projecting Success will be sharing some insights into the pioneering work that they have been doing on an oil and gas project analytics data trust and their efforts to make this vision a reality. They will also provide an update on parallel work that is being conducted within the construction sector. If successful, it could facilitate a transformation in how we deliver projects, from new installations through to decommissioning. Stephen Ashley is Digital Solution Centre Manager at the Oil and Gas Technology Centre Andrew Buchan is Senior Project Advisor at the Oil and Gas Authority Martin Paver is CEO of Projecting Success, an SME with a passion for using data to transform how we deliver projects. ---------------- Talk 2 - Lesley-Anne Kelly "The good, the bad, and the 3D pie chart" - a look at how good data visualisation can tell complex stories and how some miss the mark altogether. Lesley-Anne will talk through her favourites and least favourites and some in the blurred lines in between. Lesley-Anne self-describes as a Weegie who landed in Dundee half a lifetime ago. She is the only data journalist and biggest nerd at The Courier and the Press and Journal newspapers. ***************************** Thanks to MBN Solutions, Data Lab Scotland and Scotland IS for sponsoring this event. Photo by Vlad Hilitanu on Unsplash
- *POSTPONED* - Highlands Data Meetup March
*****EVENT IS POSTPONED**** The event is postponed and will happen at a later date. Sorry for any inconvenience. ------------------------------------------------------------------------- Come along and join our new vibrant and growing community of data enthusiasts in the Highlands! We meet quarterly in An Lochran and are for anyone interested in data, data science, AI, technical developments or organisational implications of taking a data driven approach. Come along, find out more and join our community. We will kick off at 5pm for food and drinks. The Data Lab is delighted to welcome a trio of speakers from LifeScan Scotland on the Data Lifecycle in the Medical Device Industry, and John Straw, who will talk about how automation powered by AI will drastically change business structure and business processes. Outline: 5.00pm: buffet and drinks 5.30 to 6.15pm: The Lifecycle of SMBG Customer Data – David Mccoll, Staff Scientist & Andrew Finlayson, Principal Engineer Predicting Product Performance in the hands of the customer – Jeffrey Rodger, Staff Statistician The Manufacturing Data Map - David Morris, Staff Scientist Manufacturing Engineering 6.15 to 7.00pm: How automation powered by AI will drastically change business structure and business processes - John Straw LifeScan Scotland has more than 35 years continuously moved diabetes care forward through advancing technologies and developing products defined by simplicity, accuracy, and trust. From OneTouch® brand blood glucose meters, test strips, and lancets to integrated digital systems, therapeutics, and hospital point-of-care systems, LifeScan is committed to offering best-in-class products and technology-driven solutions. John is a serial technology entrepreneur who has started and sold several businesses - including one to Microsoft. He is a leading speaker on disruptive innovation and technology and talks in a style which is easy to understand and awe-inspiring, making him a frequent public speaker and prolific author of iDisrupted book and blog. The Data Lab acts as a catalyst, supporting the community to blaze new trails, solve big problems, and lead on the world stage. We do not work in isolation to move data science forward in Scotland, but rather with our network of partners and the wider data science community. We help to make things happen with our community, not just for them, and we encourage collaboration as a driving force for innovation. Sponsored by HIE and The Data Lab For information on this and all our Inverness events contact [masked]
- Community Data (Aberdeen March 2020 Data Meetup )
This event is presented as part of the Data Fest Fringe programme, and has been moved to the SECOND Tuesday of March to align it with the festival. Tonight it's all about community data. That's data generated or created by people in the community, or data published openly and tools that you can use to make sense of your local area. Pizza, beer and networking 6.30pm. Talk 1 - An overview of Scotland's Open Data provision: what's happening with the Open Government Partnership Scotland Plans; an update from Aberdeen City Council on local open data and more. You'll find out how these lead into the Scottish Open Data Unconference in Aberdeen on 14 - 15 March. Talk 2 - Kevin Mulhern of 57 North Data Lab on the Air Aberdeen Project. Started in 2019, the project is to launch a high number of community-built and hosted sensors across the city which generate open data on pollutants, humidity, temperature and air pressure. We expect to announce a major investment in the network at the Data Meetup, Talk 3 - Ian Watt of Code The City: Using Wikidata and associated tools to capture and make queryable the local history of Aberdeen. He will give a brief overview of how WikiData works, show some examples of recent projects, and show how to query the data and use that for other projects. He will also show how this links to CTC19 in April which will be launched soon and longer-term collaboration with the cultural sector in Aberdeen. All three talks will highlight how you can get involved, contribute data, support the projects, and use data to better understand the city in which you live and work. ***************************** Thanks to MBN Solutions, Data Lab Scotland and Scotland IS for sponsoring this event. Photo by Glen Noble on Unsplash