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Data > ML Ops Page_HERO
MLOps.
Continuously improving model performance and long-term value delivery.
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How we help.
We help you define, prototype, develop, deploy and manage advanced analytic models that can be trained to continually improve accuracy, relevance and quality. Here’s some of the typical customer challenges and opportunities we see.
MLOps - Element - KeyMetrics
We need to get more scientific about forecasting our key business metrics.
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MLOps - Element - Customers
We want to understand our customer profiles better so we can have more targeted conversations.
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MLOps - Element - Pricing
We need to optimise our pricing strategy to maximise revenue (and/ or other KPIs).
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MLOps - Element - Manual
Our paperwork processing is too time-consuming, manual and repetitive. We need to automate.
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MLOps - Element - Migration
We’re moving to open source (e.g. from SAS to R/Python) – but we lack in-house skill and experience.
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MLOps - Element - Profile
We need to raise the profile of data science in our business with roadmaps, internal stakeholder engagement & technical guidance.
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MLOps - Element - Resources
We need data science resources to help deliver projects due to lack of skills and/or capacity.
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MLOps - Element - Production
We have previously developed models but they need to be productionised to improve and generate value over time.
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Diagram_Our resources and capability - MLOps
Our resources and capability.
The scale and skills of our talented teams (and where to find them).
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MLOps - Machine Learning
MLOps - Machine Learning
Machine learning.
As a building block of AI and a core discipline of data science, we develop and deploy right-fit machine learning models that reflect your data maturity. To ensure these models stay relevant and deliver ongoing value, we apply MLOps best practices to optimise scale, supportability and stability.
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Value Proposition
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MLOps - Advanced Stats
MLOps - Advanced Stats
Advanced statistics.
In the commercial world, Data Science is all about applying relevant mathematical, statistical and computational techniques to create maximum business value and impact.
Our experienced data scientists apply frequentist and Bayesian statistical techniques to tackle business challenges, such as improving estimate accuracy, A/B testing frameworks and numerical optimisation.
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MLOps - Analytic Development
MLOps - Analytic Development
Analytic development.
We develop analytic software including packaged code in R and Python for data scientists, data processing backed web app based on Shiny, Dash and other similar frameworks, open source transformation and related code conversion.
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MLOps - Learning & Development
MLOps - Learning & Development
Learning & development.
According to a DataIQ survey in June 2021, maturing your data science function can deliver an uplift of ~14% of your revenues.
Our senior resources provide technical, strategic and operational guidance to your in-house teams, from classroom training to consulting/ mentoring and tactical/ longer term team augmentation.
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Value Proposition
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What it means to you table - MLOps
How we work and what it means to you.
How it work & what it means to you.
How we work. | What it means to you. |
---|---|
Led by business objectives and motivated by delivering real business impact: value and outcome-driven. | Accelerate change and drive momentum in the re-investment cycle by delivering early value. |
IDEaL Framework: Investigate, Develop, Evaluate and Launch are the steps in a full delivery cycle. | Investigate phase de-risks development process. Clearly articulated success criteria, business alignment and minimised risks of project failure. |
MLOps: the application of CI/CD and other best practices (e.g. data drift monitoring) to automate ML tasks in experimentation and production. | Continuous improvement in model performance and longer term value delivery. |
Hive knowledge: we promote a learning and development culture as a team of curious minds, sharing knowledge and latest developments to ensure high delivery quality. | Benefit from the latest practices and proven techniques we accumulate over time and across industries. |
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IN ACTION
DATA - MLOps CaseStudy
Heathrow Airport
Forecasting airport baggage flows.
As Europe’s busiest airport, Heathrow safely carries hundreds of thousands of passengers through its terminals and onto their flights every day. Its busiest terminal, T5, carries over 30 million passengers each year, so even small advancements in planning and passenger efficiency can have enormous impact on total capacity for the airport as a whole.
We helped Heathrow to build a predictive modelling forecast for future baggage handling requirements based on historical patterns and future flight schedules, including the impact of unplanned events and variants such as weather and air traffic control issues system problems.
Logo - Data - Case Study - DataScience Heathrow
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Talent sourcing:
Are you looking for help with something similar?
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Our customers.
Ascent works with over 170 businesses in the UK, Europe and North America. From global insurance, healthcare and retail to smart home devices, space exploration and cricket - we get to work with some of the sharpest minds in the brightest businesses.
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Explore our other data services -MLOps
Explore our other services.
TILES - OTHER SERVICES - DATA&AI - Governance & Compliance_LINKED
Governance & Compliance
Build the frameworks and governance policies that allow your teams to use data safely, effectively and ethically.
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Data & AI Strategy
Solve problems, create opportunities and deliver more business value by using your data better.
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Lets get started section - Services MLOps
Let’s get started.
We help you create game-changing insight, deliver pivotal data projects and build strong internal analytics capability.
Got a challenge in mind? We’re ready when you are.
Get In Touch
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