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Women in Tech Series: Storytelling with Data

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Women in Tech Series: Introduction to Generative AI

Datatonic Academy: Google Cloud Fundamentals – Core Infrastructure

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Building Data Fluency Throughout Your Business

MLOps in Action: Operationalize Your ML Workflow Using Pipeline Templates

Datatonic Launches Updated “Turbo Templates” to Supercharge MLOps Adoption in 2024

Datatonic Achieves the Marketing Analytics Partner Specialization in Google Cloud Partner Advantage 

Enterprise MDS Deployment at Scale: dbt + DevOps

Unlocking Generative AI Use Case with Snowpark

Reducing the Carbon Impact of AI Inference Using State-of-the-Art Infrastructure

Enhancing Gaming with Generative AI

Big Data LDN: Our Top Insights

Configuring Looker for Performance and Scalability

Blue-Green Deployment with dbt and Snowflake

Generative AI Personalisation for Retail

Google Cloud Next: Our Top 10 Announcement Highlights

Datatonic Wins Google Cloud Industry Solution Services Partner of the Year Award for Telecommunications 

Adopting Generative AI for Telcos

Understanding Your Data Stack Personnel and Tooling Costs

Reducing Emissions and Operating Costs for 5G Providers 

Tracking Business KPIs with Looker

Datatonic Develops Real-time Anomaly Detection Solution on Google Cloud

Forecasting Snowflake Credit Usage

FinOps 101: What You Need to Know

4 Steps to Cloud FinOps Maturity

Datatonic Partners with Google Cloud to Provide Generative AI and LLMOps for Industry-Leading Businesses

Using Exit Handlers to Create Robust ML Pipelines in Production

Responsible AI: Fairness Measurement + Bias Mitigation

Generative AI: Using Large Language Models Responsibly

Generative AI + MLOps: Applications in Production

Generative AI 101: GenAI on Google Cloud

Responsible AI: The Role of Data and Model Cards

Driving Analytics Adoption Q+A: Your Questions Answered

Vertex AI Assessment: Choosing MLOps Tooling

Datatonic acquires Montreal Analytics to accelerate Global Expansion 

Responsible AI 101: What You Need to Know

Configuring Cloud Build to use Static External IP Addresses

Data Mesh on Google Cloud

Vertex AI Tips + Tricks: Data Validation in Vertex Pipelines using Great Expectations

MLOps in 2023

Data Mesh: Your Questions Answered

How the Modern Data Stack Is Reshaping Geospatial Data Analysis

Adding Near-Complete Autonomy to dbt Continuous Deployment Using “Slim Backfills”

Reinforcement Learning: How to Train an RL Agent from Scratch

Reinforcement Learning: Bringing Use Cases to Life

Computer Vision: Generative Models and Conditional Image Synthesis

Vertex AI Tips and Tricks: Improving Debugging in Vertex AI Batch Prediction Jobs

Computer Vision: Deploying Image Segmentation Models on Vertex AI

Predicting and Reducing Energy Consumption of Machine Learning Models

Greentonic: Climate Technology and Building a Sustainable Future

Vertex AI Tips and Tricks: Scheduling Vertex Pipelines Easily with Terraform and Cloud Scheduler

Vertex AI Tips and Tricks: Setting Up Alerts for Vertex Pipelines with Google Cloud Monitoring

Authenticating a Service Identity into Google Cloud with Workload Identity Federation

Computer Vision: Object Detection and No-Code AI with AutoML

Computer Vision: Emerging Trends and Google Cloud Technology

Computer Vision: Insights from Datatonic’s Experts

Deploying Powerful Machine Learning Models on Google Cloud

Datatonic Wins Google Cloud Specialization Partner of the Year Award for Machine Learning

Natural Language Processing: Text Summarisation for Long, Domain-Specific Texts

Through the Looker Glass – Part 2: Creating User-Friendly Looker Dashboards with Information Modals

Datatonic Announces Open-Source ‘MLOps Turbo Templates’ for Vertex AI

Through the Looker Glass – Part 1: 5 Steps to Creating Beautiful Looker Dashboards

Machine Learning for Marketing Leaders in 2022

Running dbt on Google Cloud’s Vertex AI Pipelines

Datatonic and DoiT form Strategic Partnership on Google Cloud

Ad Spend Optimisaton with Machine Learning: Your Questions Answered!

dbt, BigQuery and Looker: Your Modern BI Tech Stack

Four Ways Google Cloud Can Solve Your Security Challenges

The MLOps Tools Guide for GCP

What is Propensity Scoring and Why Should You be Using it?

Datatonic Open Sources ‘Data Orchestration Platform’

TonicTalk with Sky: Your Questions Answered!

Drilling into the Details: Multiple Drill-downs in Looker

MLOps Tools Part 5: BigQuery + Memorystore vs. FEAST for Feature Store

MLOps Tools Part 4: Cloud Monitoring vs. Grafana for Monitoring ML Systems

MLOps Tools Part 3: Cloud Functions vs. Cloud Run for Model Serving

MLOps Tools Part 2: Kubeflow Pipelines vs. Cloud Composer for Orchestration

MLOps Tools Part 1: TensorFlow Transform vs. BigQuery for Data Transformation

Bias and Fairness Part 2: Measuring Fairness in Machine Learning

The 2021 Guide to MLOps

Bias and Fairness Part 1: Bias in Data and Machine Learning

Managing Looker Access Rights for Your Organisation

Explainable Artificial Intelligence

Datatonic + Vodafone: AI-Powered 5G

AI Automation with MLOps

What is Game Lifetime Value and How Do You Measure It?

Optimising Machine Learning Inference with Intel’s OpenVino

On-Premise to a Cloud Data Warehouse Guide

Detecting Online Fraud with Machine Learning

Decarbonising the Shipping Industry using Machine Learning

Cloud Data Warehouse: The Starting Point to Any Digital Transformation

Datatonic and Intel Whitepaper: How to be Hyper-Relevant

Optimise Your Google Cloud Costs Using Looker

Hyper-Personalisation During and Post Pandemic

Datatonic wins global award: Google Cloud Specialization Partner of the Year for AI + ML

Machine Learning for Predictive Maintenance – Part 2: Predicting Hard Drive Failure

A Proven Approach to Migrate Your Data Warehouse Platform to Google Cloud’s BigQuery

Sampling Methods within TensorFlow Input Functions

Building a BQML Linear Model with Looker Using Public Data

Machine Learning for Predictive Maintenance – Part 1

Machine Learning Optimisation: What is the Best Hardware on GCP?

Implementing Your First BQML Algorithm in Looker

Celebrating Dataset Diversity in Recommender Systems

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Generative AI: Beyond the Hype

Driving Analytics Adoption with Admiral Insurance

Data Mesh: From Principles to Practice

<p>MLOps is crucial to enable your use of Machine Learning across the business. Watch to find out how to get started with ML at scale.</p>


MLOps 101: Getting Started With ML At Scale

Creating the Gaming Metaverse with Hiber + Generative AI

Redefining Data Management with Dataform for Usay Compare

Cultivating Customer Experience with Felleskjøpet

30% Cost Reduction for Loop Returns on Google Cloud

Keeping Inmarsat’s Satellites in the Cloud

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Cultiver l'expérience client avec Felleskjøpet

Réduction de 30 % des coûts pour les retours en boucle sur Google Cloud

Maintenir les satellites d'Inmarsat dans le nuage

Dernières vidéos à la demande

L'IA générative : au-delà du battage médiatique

L'adoption de l'analytique avec Admiral Insurance

Le maillage de données: de la théorie à la pratique

MLOps 101 : Démarrer avec la ML à l'échelle

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Adopter l'IA générative pour les opérateurs télécoms

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Configurer Looker pour la performance et l'évolutivité

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Commencez dès aujourd'hui votre voyage dans l'infonuagique data + IA

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