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6point6

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  • Busting Data Lake Myths and Dragons
    Busting Data Lake Myths and Dragons
    Gary Richardson, MD, Emerging Technology, 6point6 Recorded: Apr 17 2019 35 mins
    Leveraging data lakes is no longer a technical challenge, AWS, Azure and GCP make it easy to provision and harness the technical infrastructure needed in order to leverage your data. The issues that prevent data exploitation are all of the non technical drivers that we have been talking about for years. In this talk we will run through the following provocations:

    1. We don't need governance, we have a data lake.
    2. We have all our data in one place so we know what data we have.
    3. We have a data lake so we now have a data strategy.
    4. We have new shiny tools we don't need to think about data engineers.
    5. We do agile so we will get results.

    Register for our webinar and get the inside track on how to leverage cloud data lakes.


    Speaker Bio-
    Gary Richardson, MD, Emerging Technology

    Gary is the Managing Director for Emerging Technology at 6point6. With over 17 years’ of consulting experience, Gary leads a team of data scientists and data engineers in the agile development of Blockchain, AI and Machine Learning solutions. The focus of the team is bringing a collaborative approach to analytics, underpinned by machine learning and data engineering. He believes mainstream business adoption of AI solutions are the key to accelerating innovation enabling businesses to compete, reduce cost and ensure compliance.

    Prior to joining 6point6, Gary was the Head of Data Engineering at a Big 4 consulting firm, focussing on blockchain and bringing sound data engineering to the world of AI.
  • Redefining Networking in a Hybrid Cloud World
    Redefining Networking in a Hybrid Cloud World
    Simon Ratcliffe, Cloud Industry Forum | Justin Day, CloudGateway | David Luke, NGINX Recorded: Mar 12 2019 43 mins
    As the cloud becomes supercharged in 2019 and beyond, so too will your networks. Tune in to hear from leading industry experts for a live discussion on the future of cloud networking in a hybrid world.

    Topics to be covered include:
    - Securing cloud-managed networks
    - Understanding the ins and outs of public, private and hybrid cloud architectures
    - Where WAN fits into your hybrid IT strategy

    This live panel will be streamed directly from London. Join us from the comfort of your desk and get all your cloud questions answered!

    Moderated by: Simon Ratcliffe, Cloud Industry Forum
    Justin Day, CEO, Cloud Gateway
    David Luke, Enterprise Solutions Architect, NGINX
    Panelist to be announced
  • Mentorship and Sponsorship: Finding the support system for your career
    Mentorship and Sponsorship: Finding the support system for your career
    Valentina Kristensen, Elsa Zekeng, Christine Ng, Isha Chander, Dr. Natoshia Anderson Recorded: Mar 6 2019 60 mins
    Having a good mentor or sponsor in your career is invaluable. They can help progress your career, provide support during tough times, and be the sounding board you need.

    The panel will cover tips on:
    -The difference between mentorship and sponsorship
    -How to find the right mentors / sponsors?
    -The importance of having mentors from a diverse range of backgrounds, ages, genders, etc.
    -Do you ask someone to be a mentor or do they just become one?
    -How do you know if someone’s a mentor if you’ve never officially “had the conversation”?

    Valentina Kristensen (OakNorth Bank)
    Elsa Zekeng (Jobseekrs)
    Christine Ng (FT)
    Isha Chander (6point6)
    Dr. Natoshia Anderson (Girl Scouts of America)
  • How to Keep Real Life Artificial Intelligence Fit
    How to Keep Real Life Artificial Intelligence Fit
    Gary Richardson, MD, Emerging Technology, 6point6 Recorded: Feb 12 2019 32 mins
    AI, machine and deep learning are making strides in organisations. However, the results of the projects will start to lose their effectiveness as the business environment evolves over time. In order to keep the AI fit and effective you need to rapidly evolve into Model Operations or ModelOps.

    This talk will cover how ModelOps will keep AI fit and consistently deliver business value by:
    - Keeping an eye on model performance
    - Capturing and retraining models whilst constantly engineering features
    - Providing model explainability so all stakeholders can interpret the results
    - Generating the decision vault to capture the inputs, model and outputs
    - Confirming the decision by enabling parallel consideration

    Rather than provide you real world examples of AI in action we will give you a peak behind the machine of how you keep AI working in the real world.

    About the speaker:
    Gary Richardson, MD, Emerging Technology

    Gary is the Managing Director for Emerging Technology at 6point6. With over 17 years’ of consulting experience, Gary leads a team of data scientists and data engineers in the agile development of Blockchain, AI and Machine Learning solutions. The focus of the team is bringing a collaborative approach to analytics, underpinned by machine learning and data engineering. He believes mainstream business adoption of AI solutions are the key to accelerating innovation enabling businesses to compete, reduce cost and ensure compliance.

    Prior to joining 6point6, Gary was the Head of Data Engineering at KPMG focussing on blockchain and bringing sound data engineering to the world of AI.
  • Empowering Businesses and Users With Self-Service Analytics
    Empowering Businesses and Users With Self-Service Analytics
    Pete Hannam, 6point6 | Tom Mack, Qubole | Raghu Ramakrishnan | Microsoft | Tim Carmichael, Ensifera Recorded: Nov 13 2018 44 mins
    As data analytics becomes an engrained feature of many successful businesses, it's important to ensure that data-driven insights are made accessible to decision makers throughout the organization.

    Deep-dive into the topic of how self-service analytics tools are democratizing data and bringing business users deeper into the equation with subject matter expert panelists.

    You'll Learn:
    - The landscape of self-service analytics tools available
    - Techniques and strategies to ensure your self-service analytics solution is working for your business
    - How self-service analytics is enabling business users and all members of an organization to make data-driven decisions
    - and more!

    Panelists:
    Pete Hannam, Head of Data Engineering, 6point6
    Tom Mack, VP EMEA, Qubole
    Raghu Ramakrishnan, CTO for Data, Microsoft

    Panel moderator:
    Tim Carmichael, Director & Chief Data Officer, Ensifera Limited
  • Smart Blockchain Integrating AI
    Smart Blockchain Integrating AI
    Gary Richardson, MD, Emerging Technology, 6point6 Recorded: Sep 20 2018 32 mins
    Blockchain within the enterprise is the opportunity to be the immutable decision vault for all AI based decisions. In this webinar we will discuss how Blockchain can be used as the vault for all decision making, how AI can be integrated with Blockchain, and the role workflow still has in business process management.

    About the presenter:

    Gary Richardson, MD, Emerging Technology

    Gary is the Managing Director for Emerging Technology at 6point6. With over 17 years’ of consulting experience, Gary leads a team of data scientists and data engineers in the agile development of Blockchain, AI and Machine Learning solutions. The focus of the team is bringing a collaborative approach to analytics, underpinned by machine learning and data engineering. He believes mainstream business adoption of AI solutions are the key to accelerating innovation enabling businesses to compete, reduce cost and ensure compliance.

    Prior to joining 6point6, Gary was the Head of Data Engineering at KPMG focussing on blockchain and bringing sound data engineering to the world of AI.
  • Why Feature Stores Matter When it Comes to AI and IoT
    Why Feature Stores Matter When it Comes to AI and IoT
    Gary Richardson, Managing Director, AI Data & Analytics at 6point6 Recorded: Jun 21 2018 46 mins
    The need to make IoT devices smarter is a trend that will continue long into the future, enabling the "smart" in Cities, Supply Chains and every other area IoT is making an impact.

    Making small decisions at the edge on the device ensures that the devices remain smart at all times. Building the feature store provides the ability for ongoing training and validation of the machine and deep learning models. Without the feature store, this process becomes arduous.

    Join this interactive webinar to learn more about:
    - What is a feature store and how is it different from Data Lakes
    - Gain an understanding of repeatable feature generation and best practices
    - What are the technology considerations to enable feature stores

    About the Speaker:
    Gary is the Managing Director for AI, Data and Analytics at 6point6. With over 17 years’ of experience, Gary leads a team of data scientists and data engineers in the agile development of AI and Machine Learning solutions. The focus of the team is bringing a collaborative approach to analytics, underpinned by machine learning and data engineering. He believes mainstream business adoption of AI solutions are the key to accelerating innovation enabling businesses to out compete, reduce cost and ensure compliance.

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