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London, 8th April 2025 — Datatonic, a global leader in Cloud Data + AI, announced today that it has been named 2025 Google Cloud Services Partner of the Year for Data &amp; Analytics (EMEA), bringing its total to 10 awards across Marketing Analytics, Machine Learning, and industries including Gaming, Telecommunications, and Retail.
Together with Google Cloud, Datatonic has helped businesses solve their most pressing challenges with powerful data analytics and AI solutions – from strengthening their customer experience and uncovering new sources of revenue, to migrating to Google Cloud and building best-in-class data platforms.
“Google Cloud’s partner awards recognize the significant impact and customer success that our partners have driven over the past year,” said Kevin Ichhpurani, President, Global Partner Ecosystem at Google Cloud. “We’re delighted to recognize Datatonic as a 2025 Google Cloud Partner Award winner, and look forward to a continued strong partnership in support of our mutual customers.”
Throughout the year, Datatonic has worked with industry-leading clients, such as <a href="https://datatonic.com/case-studies/genops-vodafone-google-cloud/" target="_blank" rel="noopener">Vodafone</a>, <a href="https://datatonic.com/case-studies/hedvig-marketing-analytics/" target="_blank" rel="noopener">Hedvig</a>, and <a href="https://datatonic.com/case-studies/training-telia-upskilling-in-ai/" target="_blank" rel="noopener">Telia</a>, to remain competitive in the rapidly evolving data analytics landscape, scale their operations, and bring better services to customers through data-driven decision-making and continuous innovation, such as its new Pathfinder approach to accelerate and ensure success for Vodafone’s enterprise-scale cloud migration.
“We’re honoured to be recognised for our global impact in data and analytics this year, which will be our tenth Partner of the Year award from Google Cloud. This award celebrates Datatonic’s work with industry leaders, where we’ve driven substantial and sustained business impact over the years for clients such as <a href="https://datatonic.com/case-studies/generative-ai-wizards-of-the-coast/" target="_blank" rel="noopener">Wizards of the Coast</a>, <a href="https://datatonic.com/case-studies/marketing-analytics-asos/" target="_blank" rel="noopener">ASOS</a>, and <a href="https://datatonic.com/case-studies/slashing-invoice-processing-costs-bigquery-docai-genai/" target="_blank" rel="noopener">Liberty Global</a>. We’re excited to continue this in the year ahead.” – Scott Eivers, CEO, Datatonic
As well as delivering projects with tangible business impact to help scale clients’ businesses, Datatonic has provided ongoing support to business leaders on the best use of data and AI with <a href="https://datatonic.com/services/managed-services/" target="_blank" rel="noopener">Managed Services</a> to maximise business value as well as upskilling client teams in collaboration with <a href="https://datatonic.academy/" target="_blank" rel="noopener">Datatonic Academy</a>.
&nbsp;
About Datatonic
Datatonic, 10 X Google Cloud Partner of the Year, is the leading cloud data and AI consultancy for industry-leading organizations, delivering tangible business impact at the cutting edge of Google Cloud.
As leaders in Generative AI, Datatonic provides high-impact, ROI-driven solutions that enhance decision-making, optimize operations, and revolutionize customer experiences. Our expertise extends beyond AI, offering comprehensive cloud data migration and marketing analytics solutions, training and managed services that empower businesses to bring the future to today with cutting-edge, industry-first solutions.
For more information, visit <a href="https://datatonic.com/" target="_blank" rel="noopener">https://datatonic.com/</a>.

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Datatonic Wins Google Cloud Partner of the Year Award for Data + Analytics in EMEA

7TH APRIL, LONDON, MONTREAL AND WORLDWIDE &#8211; <a href="https://datatonic.com/" target="_blank" rel="noopener">Datatonic,</a> a leader in driving high business impact with Enterprise Data &amp; AI solutions, today announced Scott Eivers as its new global Chief Executive Officer, covering all Datatonic operations in UK, Europe and North America, spanning across all business divisions in Consulting, Managed Services and Academy.
Datatonic’s services are at the leading edge of modern data and AI expertise, blending strategy and deep technical expertise to speed up innovation where talent is scarce and deadlines short. A key differentiator is the team&#8217;s experience in achieving tangible value with real-world GenAI, such as building a large-scale GenOps platform to deploy 600+ models for <a href="https://datatonic.com/case-studies/genops-vodafone-google-cloud/" target="_blank" rel="noopener">Vodafone</a>, and reducing customer churn by 15% for <a href="https://datatonic.com/events/cineverse-webinar/" target="_blank" rel="noopener">Cineverse</a>, alongside becoming a launch partner for Google Cloud’s new <a href="https://datatonic.com/services/generative-ai/agentspace/">Agentspace</a>, to help customers catapult productivity with GenAI Agents. 
Scott Eivers joins from services partner <a href="https://nordcloud.com/" target="_blank" rel="noopener">Nordcloud</a>, an IBM Company, where he served as the UKI Region Director, responsible for rapidly scaling its business from a small challenger to a leader in the market. As part of his wider Chief Growth Officer role, he also helped Nordcloud set up its marketing and product functions. Prior to this, he also scaled a small business consulting function in Gartner Consulting to become a leader of technology and business consulting services across EMEA. Before this, he held a variety of senior roles growing functions and teams at global companies, such as Vodafone and BT.
Datatonic’s current CEO &amp; Founder, Louis Decuypere, will continue to serve as Chairman of Datatonic: “The journey we have been on has been exhilarating to date and we’re excited to take the next step. After nearly 10 incredible years building this company, and with Datatonic stronger than ever, I believe now is the perfect moment to transition leadership for our next phase of growth. My commitment to Datatonic and belief in our future remains stronger than ever, and with Scott’s leadership and our amazing team, I am incredibly excited about the unprecedented success ahead.”
The Datatonic team is rapidly growing to meet the global demand for strategic technical partners. Its proven AI skills address a wide range of business issues and growth is outpacing the demand for all other professional and technical service markets; it has recently been named as one of the <a href="https://itchanneloxygen.com/oxygen-fast-growth-50-2025-50-high-growth-uk-channel-partners-revealed/" target="_blank" rel="noopener">fastest-growing MSPs in the UK</a>.
The appointment comes as the second after Datatonic recently appointed <a href="https://datatonic.com/insights/datatonic-appoints-david-kress-chief-revenue-officer/" target="_blank" rel="noopener">David Kress as CRO</a> to boost growth globally. Commenting on his appointment, Eivers noted &#8220;I have been truly inspired by the leading data and AI tech talent at Datatonic. I am looking forward to working beside such transformational thinkers at this incredible AI market crossroad”.
&nbsp;
About Datatonic
Datatonic, 9 X Google Cloud Partner of the Year, is the leading cloud data and AI consultancy for the industry-leading organizations, delivering tangible business impact at the cutting edge of Google Cloud.
As leaders in Generative AI, Datatonic provides high-impact, ROI-driven solutions that enhance decision-making, optimize operations, and revolutionize customer experiences. Our expertise extends beyond AI, offering comprehensive cloud data migration and marketing analytics solutions, training and managed services that empower businesses to unlock the full potential of their data.
For more information, visit <a href="https://datatonic.com/">https://datatonic.com</a>

New role underlines Google Cloud’s 9x Partner of the Year global growth ambitions

Datatonic Appoints Scott Eivers as Chief Executive Officer

The financial services and insurance (FSI) industry is increasingly leveraging advanced analytics and machine learning to extract insights from vast datasets, <a href="https://datatonic.com/case-studies/hedvig-marketing-analytics/" target="_blank" rel="noopener">improve marketing campaigns</a>, and automate processes. AI-powered tools are being used for fraud detection, risk assessment, and compliance monitoring, enhancing efficiency and security. This shift towards data-driven decision-making and AI-powered automation is reshaping the competitive landscape, driving innovation, and improving customer satisfaction in the FSI sector.
&nbsp;
What is Google Agentspace?
Agentspace allows users to have a single platform for Google-quality search and agents, across all enterprise systems, while maintaining the highest levels of compliance and data protections.
With deep research and assistant capabilities built-in, Agentspace helps employees across roles and industries get their jobs done. A financial analyst researching investment options for a client, a lawyer researching a case, an engineer troubleshooting a system issue, or a marketer building a PR campaign, all can save hours a day.
Agentspace allows users to interact with data in natural language, meaning users can ask questions about their data by simply typing their questions. This makes it easy for users to get the information they need without having to learn how to use more complex data analysis tools. With this in mind, let’s explore how different roles in the financial services and insurance industry can make the most of Agentspace.
&nbsp;
Policy management
Insurance companies can leverage Agentspace to simplify policy management, process claims efficiently, and manage client data securely. Agentspace can help claims handlers to quickly access the required information on policies, as well as customer data, enabling them to reduce errors and speed up processing. Agentspace’s multimodel capabilities mean policy managers will be able to access a huge amount of data previously inaccessible to support with decision making. 
&nbsp;
Marketing 
The shift of physical first to digital first across all of FSI means distribution channels are changing and marketing teams are having to adapt. Agentspace allows for marketing teams to access previous campaign information with ease and build more personalized experiences for customers. Users can also work collaboratively using <a href="https://gemini.google/overview/deep-research/?hl=en-GB" target="_blank" rel="noopener">Gemini Deep Research</a> to explore how new marketing channels can activate their growing online audience.
&nbsp;
Compliance teams
Compliance teams can use Agentspace for monitoring regulatory changes, generating auditing transactions and data, and automating compliance workflows. With regulatory updates, Agentspace can provide automated alerts and summaries of new regulations, ensuring compliance and reducing the friction for all employees to engage with regulatory information. 
For audit trail generation, it can be used to help automate the tracking and documentation of transactions, simplifying auditing and improving transparency. Additionally, for reporting, Agentspace can automate report generation for regulatory bodies, saving time and ensuring accuracy and timely submission.
&nbsp;
Risk managers
Risk Managers can also benefit from Agentspace by analyzing market trends and risks, developing risk mitigation strategies, monitoring risk indicators, and rapidly generating risk reports with custom built Agents that sit within Agentspace. 
When it comes to risk assessment, Agentspace can be used to accelerate data analysis and risk modeling, providing comprehensive risk insights and improving decision-making. For monitoring, it can provide real-time alerts and notifications of risk events, enabling proactive risk management and reducing potential losses. Furthermore, for reporting, Agentspace can help to speed up the creation of risk reports and dashboards, simplifying reporting and providing clear visualization of risk exposure.
&nbsp;
Conclusion
Agentspace is revolutionizing the financial services industry by providing a unified platform for data access, analysis, and automation. It empowers various roles, from policy management and customer support to compliance and risk management, with enhanced efficiency, accuracy, and speed. With strong privacy and security built-in, Agentspace has the ability to scale across the business, significantly improving decision-making, reducing risks, and enhancing customer satisfaction.

Agentspace in Finance: Streamline Compliance, Manage Risk, and Enhance Customer Experiences

The retail industry is constantly changing due to evolving consumer demands, new technologies, and economic shifts. These factors are reshaping job roles in the sector, emphasizing the need for improved efficiency, better customer experiences, and data-driven decision-making, in order to gain a competitive advantage.
&nbsp;
What is Google Agentspace?
Agentspace allows users to have a single platform for Google-quality search and agents, across all enterprise systems, while maintaining the highest levels of compliance and data protections. 
With deep research and assistant capabilities built-in, Agentspace helps employees across roles and industries get their jobs done. A financial analyst researching investment options for a client, a lawyer researching a case, an engineer troubleshooting a system issue, or a marketer building a PR campaign can all save hours a day.
Agentspace allows users to interact with data in natural language, meaning users can ask questions about their data by simply typing their questions. This makes it easy for users to get the information they need without having to learn how to use more complex data analysis tools. With this in mind, let’s explore how different roles in the retail industry can make the most of Agentspace. 
&nbsp;
Store Managers
Store managers can use Google Agentspace to optimize operations, through enhanced decision-making, and improve overall store performance. For example, Agentspace can support planning staffing schedules, as well as providing easy access to sales data and inventory levels all in one place.
These would enable Store Managers to focus on providing better service to customers as less time is spent doing manual planning, both through ensuring available customer service at all times, and products are sold out at any one time.
&nbsp;
Marketing Professionals
Marketing professionals in retail can use Google Agentspace to create and activate more targeted and personalised marketing campaigns. 
With personalization becoming more and more important for online retailers, marketing teams can use Agentspace to quickly answer questions about current or target customers, from first- and third-party date sources. Teams can also build research reports on new industry trends to inform campaign strategy and create new image, video and text to feed into that campaign. Agentspace for marketing is powered by connectors to marketing analytics platforms, such as the one Datatonic developed with <a href="https://datatonic.com/case-studies/marketing-analytics-asos/">ASOS</a>. 
&nbsp;
Buyers + Merchandisers
Agentspace will provide buyers &amp; merchandisers to easily and quickly analyze vast datasets of sales information, identify emerging trends in consumer preferences, and predict future buying behaviors with greater ease and accuracy. 
This means buyers and merchandisers can make more informed purchasing decisions, selecting merchandise that is likely to resonate with their target customers and minimizing the risk of investing in slow-moving or unpopular items. By leveraging Agentspace and AI Agents to predict retail trends through better analysis of historical data, social media sentiment, and various market signals, buyers and merchandisers can deliver the right product at the right time to their customers.
&nbsp;
Inventory + Supply Chain Managers
Inventory and Supply Chain managers can use Google Agentspace to easily track inventory levels, manage orders and transport all in place without having to rely on multiple tools to get a clear picture of the supply chain.
Users can gain knowledge faster on what needs to be restocked, without needing to understand the more complex systems to gain the data, accelerating decision-making, and improving customer service by avoiding low stock and delayed delivery. Agentspace will allow everyone to easily interact with their supply chain data in a natural language, removing data bottlenecks, allowing the data to quickly be acted upon. 
&nbsp;
Conclusion
Google Agentspace is enabling retailers to rapidly unlock insights and knowledge from their data, accelerating the time to make decisions, and ultimately leading to better customer experiences, and increased revenues. 
Datatonic has a wealth of experience in helping retail businesses to implement new data + AI solutions, and Google Agentspace has a wide range of impactful use cases across the business for retailers. Request a free <a href="https://datatonic.com/services/generative-ai/agentspace-discovery/?utm_source=website&amp;utm_medium=organic&amp;utm_campaign=Blog_AgentspaceRetail_202503&amp;utm_term=" target="_blank" rel="noopener">Agentspace Use Case Discovery</a> workshop today to understand how it can be used in your business.

Revamping Retail: How Agentspace is Changing the Industry

London, 27th February 2025 &#8211; Datatonic, a leading cloud data and AI consultancy, is delighted to announce that we have been selected as a launch partner for Google Agentspace, the tool that will revolutionize Enterprise search for all businesses.
With experience delivering over 100 Generative AI projects on Google Cloud, Datatonic will be applying its extensive AI knowledge to implementing Agentspace and building custom agents for customers. Previous GenAI projects include:
<ul>
<li style="font-weight: 400;" aria-level="1">Developing an invoice processing tool to reduce invoice processing costs by 70% for <a href="https://datatonic.com/case-studies/slashing-invoice-processing-costs-bigquery-docai-genai/">Liberty Global</a>.</li>
<li style="font-weight: 400;" aria-level="1">Building an innovative GenOps platform for <a href="https://datatonic.com/case-studies/genops-vodafone-google-cloud/">Vodafone</a> that will support the delivery of 600+ AI and GenAI use cases.</li>
<li style="font-weight: 400;" aria-level="1">Collaborating with <a href="https://datatonic.com/case-studies/cineverse-generative-ai/">Cineverse</a> to reduce content search and discovery times by 90% with an AI assistant.</li>
</ul>
&nbsp;
Agentspace is transforming GenAI hype into the ultimate employee productivity platform; Agentspace tackles challenges that nearly all enterprises are facing, by offering:
<ul>
<li style="font-weight: 400;" aria-level="1">Streamlined workflows across a range of connectors.</li>
<li style="font-weight: 400;" aria-level="1">Enterprise-grade security, privacy, and compliance.</li>
<li style="font-weight: 400;" aria-level="1">Multi-modal features through integration with Gemini, NotebookLM, Imagen and Veo.</li>
<li style="font-weight: 400;" aria-level="1">A single unified Google-quality search experience across all enterprise data.</li>
</ul>
&nbsp;
To learn more about Agentspace, visit <a href="https://datatonic.com/services/generative-ai/agentspace/">our website</a>, and request a one-hour <a href="https://datatonic.com/services/generative-ai/agentspace-discovery/">Agentspace Use Case Discovery</a> session. 
&nbsp;
About Datatonic
Datatonic, 9 X Google Cloud Partner of the Year, is the leading cloud data and AI consultancy for industry-leading organizations, delivering tangible business impact at the cutting edge of Google Cloud.
As leaders in Generative AI, Datatonic provides high-impact, ROI-driven solutions that enhance decision-making, optimize operations, and revolutionize customer experiences. Our expertise extends beyond AI, offering comprehensive cloud data migration and marketing analytics solutions, training and managed services that empower businesses to unlock the full potential of their data.
For more information, visit <a href="https://datatonic.com/">https://datatonic.com/</a>.

Datatonic Selected as Launch Partner for Google Agentspace to Revolutionize Internal Productivity with AI Agents

Author: Dino Chioda, Global Head of Analytics
Business Intelligence (BI) tools like Looker help businesses shape raw data into actionable insights, empowering employees to make data-driven decisions. With such tools, we can build beautiful dashboards, explore data with ease, and finally feel like we&#8217;re harnessing the true potential of our data. 
But is creating a report truly the goal, or is there some greater value that can be generated from your efforts? Too often, the journey ends at the dashboard, leaving a gap between understanding and action. Defining data workflows that extend beyond your BI tool could be the next frontier of value creation.
While a report reveals the &#8220;what&#8221; and perhaps even the &#8220;why,&#8221; it rarely dictates the &#8220;how&#8221; or the &#8220;next steps.&#8221; True data-driven organizations bridge this gap by integrating their BI tools into broader workflows that automate actions and drive tangible outcomes.
<h3>Defining data-driven workflows is essential</h3>
They drive action: A dashboard showing a dip in sales is valuable, but a workflow that automatically alerts the sales team and triggers a targeted marketing campaign is transformative. Extending your workflow allows you to move seamlessly from insight to action, closing the loop and maximizing the impact of your data. 
For example, If a customer abandons their online shopping cart, Looker can trigger an action to send a special discount or offer to the customer who abandoned their online shopping cart, encouraging them to complete the purchase.
They improve efficiency: Manual processes are slow, error-prone, and don&#8217;t scale. By integrating your BI tool with other systems, you can automate repetitive tasks, freeing up your team to focus on strategic initiatives. Imagine automatically generating reports, updating CRM systems, or even triggering product recommendations based on real-time data. 
For example, a Looker dashboard might identify high-potential leads based on website activity, demographics, or product engagement. An action could automatically push these leads to a CRM (like Salesforce or HubSpot) and assign them to specific sales reps based on territory or expertise. This automates lead qualification and distribution, improving sales efficiency.
They foster collaboration: Workflows that extend beyond the BI tool ensure the right information reaches the right people at the right time. This could involve automatically sharing dashboards with relevant stakeholders, assigning tasks based on data triggers, or even integrating with project management tools. For example, data triggers in Looker could automatically create tasks in project management tools (like Jira or Asana) for specific teams to address.
They speed up response time: In today&#8217;s fast-paced world, reacting to data in real-time is crucial. Data-driven workflows enable businesses to set up alerts and triggers based on specific data points, allowing users to respond to changes in the market, customer behaviour, or operational performance with agility. 
For example, Looker can analyze sensor data from equipment to predict potential failures. An action could automatically schedule maintenance or alert technicians before a breakdown occurs, minimizing downtime.
They leverage governed data: By defining clear workflows, you can improve data governance and ensure data consistency across your organization. This includes defining clear roles and responsibilities, automating data validation processes, and ensuring compliance with relevant regulations.
<h3>Best practices for implementing data-driven workflows</h3>
Implementing impactful data-driven workflows isn’t rocket science but there are a few moving pieces to consider:
<ol>
<li style="font-weight: 400;" aria-level="1">Focus on Concrete Use Cases: Start by identifying specific business challenges that can be addressed by extending your data workflows. Focus on areas where automation and real-time responsiveness can make the biggest impact. And don’t forget to define the right KPIs to measure impact and success.</li>
<li style="font-weight: 400;" aria-level="1">Integrate with Other Systems: Connect your BI tool with other relevant systems, such as your CRM, marketing automation platform, project management tools, and even your operational systems.</li>
<li style="font-weight: 400;" aria-level="1">Leverage APIs and Webhooks: Most of these integrations rely on APIs (Application Programming Interfaces) or webhooks provided by the upstream systems. The ability of a BI tool like Looker to connect to these APIs is crucial.</li>
<li style="font-weight: 400;" aria-level="1">Define Clear Triggers and Actions: Establish clear triggers based on specific data points and define the corresponding actions that should be taken.</li>
<li style="font-weight: 400;" aria-level="1">Monitor and Optimize: Implement robust error handling to ensure that actions are executed reliably and that any errors are logged and addressed. Continuously monitor your workflows to ensure they are performing as expected and make adjustments as needed.</li>
</ol>
&nbsp;
<h3>Conclusion</h3>
Beyond the pretty dashboards and insightful reports, lies the true power of data: the ability to drive action. By extending your data workflows beyond your BI tool, you can unlock this potential and transform your organization into a truly data-driven powerhouse.
Want to learn more? <a href="https://datatonic.com/events/looker-genai-webinar/" target="_blank" rel="noopener">Watch our recent webinar</a> where we discuss the value of combining Looker + GenAI. 
As an award-winning Google Partner with extensive experience with Looker, Datatonic can help your organization define and implement secure, effective data-driven workflows. <a href="https://datatonic.com/contact/?utm_source=website&amp;utm_medium=organic&amp;utm_campaign=LookerBlog_202502&amp;utm_term=" target="_blank" rel="noopener">Get in touch</a> to start your next project.

Beyond the Dashboard: Drive Action through BI

<a href="https://www.linkedin.com/feed/update/urn:li:activity:7292566692935647232" target="_blank" rel="noopener">Our recent podcast</a> discussed the impact of DeepSeek, a startup that has quickly made waves in the AI industry with its innovative models. With just over two hundred employees, DeepSeek has introduced models that are not only high-performing but also significantly more cost-effective than many existing alternatives. Let&#8217;s dive into the details of their breakthrough and what it means for the future of AI.
<h3>DeepSeek&#8217;s Groundbreaking Models</h3>
Over the last two months, DeepSeek has released two significant models:
<ul>
<li style="font-weight: 400;" aria-level="1">V3: This chat model is notable for its significantly lower training costs. DeepSeek reported it cost around $5 million to train, which is substantially less than what other AI labs have reported (<a href="https://www.techradar.com/pro/openai-spent-usd80m-to-usd100m-training-gpt-4-chinese-firm-claims-it-trained-its-rival-ai-model-for-usd3-million-using-just-2-000-gpus" target="_blank" rel="noopener">$80m-100m for OpenAI</a>). While this figure excludes auxiliary costs like hardware, data labeling, and human capital, the training is still likely much cheaper than other models.</li>
<li style="font-weight: 400;" aria-level="1">R1: This is an open-weights reasoning model that was fine-tuned from V3 using mainly reinforcement learning, similar to OpenAI&#8217;s models, and it stands out as a cost and performance-competitive open-source reasoning model. </li>
</ul>
&nbsp;
<h3>Lower Costs, Higher Competition</h3>
The reduction in cost of training and running an AI model of this performance that is open-weights is a key factor in DeepSeek&#8217;s disruption. One million output tokens using DeepSeek R1 on Together AI costs ~$6 (and only $0.55 on Deepseek’s own API currently), compared to ~$60 for OpenAI’s o1, demonstrating a significant cost reduction for inference. This cost efficiency has major implications for businesses looking to implement AI:
<ul>
<li style="font-weight: 400;" aria-level="1">Reduced operational costs: Lower inference costs make it more affordable for companies to embed LLMs into their products, leading to a greater return on investment.</li>
<li style="font-weight: 400;" aria-level="1">Increased adoption: Cheaper AI models could accelerate the adoption of AI technologies across various industries.</li>
<li style="font-weight: 400;" aria-level="1">Stimulated competition: DeepSeek’s innovations are pushing down prices across the industry, with other players like Google adjusting their prices to stay competitive.</li>
</ul>
At this point it is worth noting that the trend in cost reduction has since been continued by Google’s release of the top-performing Gemini 2.0 Flash with a cost of $0.4 per one million output tokens.
<h3>Reasoning Models vs. Chatbot Models</h3>
There are also some key differences between reasoning and chatbot models.
<ul>
<li style="font-weight: 400;" aria-level="1">Chat models work by predicting the next word in a sequence and are good at tasks like grammar, syntax, world knowledge, and translation. However, they can struggle with complex problems that require multi-step solutions.</li>
<li style="font-weight: 400;" aria-level="1">Reasoning models are based on chat models, but fine-tuned to produce and evaluate intermediate steps of reasoning to reach a conclusion. They use a reinforcement learning approach to favor a good path or intermediate step.</li>
</ul>
Reasoning models, such as DeepSeek’s R1 are particularly useful when dealing with complex, multi-step approach and planning problems. They are actively used in coding and research agents. These models will thrive in industries where information is vast and complex such as law, academia, finance and medicine.
<h3>Open Source Considerations</h3>
DeepSeek&#8217;s R1 model is an open-weights model. This means the model architecture, training code, and pre-trained weights are publicly available. Lately, there has been a rise in the adoption of open-weight language models by enterprises. However, there are things to consider:
<ul>
<li style="font-weight: 400;" aria-level="1">Hosting costs: While the model weights are free, hosting it yourself can be expensive, potentially costing more than using a cloud provider’s pay-as-you-go service.</li>
<li style="font-weight: 400;" aria-level="1">Data privacy: Hosting your own model can be beneficial for data privacy, as your data doesn&#8217;t have to be sent to a third party.</li>
<li style="font-weight: 400;" aria-level="1">Security: Open-weights models might have security vulnerabilities, with some models failing cybersecurity tests. However, for some internal applications, like document classification, these vulnerabilities may not be as relevant.</li>
<li style="font-weight: 400;" aria-level="1">Interoperability: Businesses should consider interoperability and how easily models can be swapped in and out of their systems, and may want to use smaller models for specific tasks.</li>
</ul>
&nbsp;
<h3>Potential Use Cases for DeepSeek Models</h3>
With this in mind, there are various potential use cases for DeepSeek models:
<ul>
<li style="font-weight: 400;" aria-level="1">Automation and efficiency: DeepSeek’s cost-effective models can significantly reduce the cost of high-throughput, inference-serving use cases.</li>
<li style="font-weight: 400;" aria-level="1">Personalization: As chatbots become more common, these models can power user-facing applications at competitive prices.</li>
<li style="font-weight: 400;" aria-level="1">Agentic systems: Reasoning models are well-suited for building agentic systems where complex decisions are required.</li>
<li style="font-weight: 400;" aria-level="1">Research and productivity: Reasoning models can assist in research and boost internal productivity.</li>
<li style="font-weight: 400;" aria-level="1">Marketing: Reasoning models can help create effective marketing campaigns by analyzing large amounts of data and past performance.</li>
</ul>
&nbsp;
<h3>Risks + Comparisons to other models</h3>
DeepSeek&#8217;s models offer significant advantages in terms of cost and performance, but there are potential risks and downsides to consider, particularly when compared to more established models like Google Cloud&#8217;s. 
While DeepSeek offers open-weights models, the company is based in China, which raises data privacy concerns for some users, especially when using the DeepSeek API, as data may be subject to Chinese government directives. Many users have found questions or topics that DeepSeek refuses to discuss. This is not a risk with Google&#8217;s models. 
Furthermore, with such low costs, DeepSeek might not have put as much effort into security as it has into performance. Although DeepSeek&#8217;s models are performant, the potential trade-off in security is something businesses should carefully consider, especially if the use case involves sensitive data or public-facing applications.
<h3>Conclusion</h3>
DeepSeek&#8217;s advancements in AI model development have significantly disrupted the GenAI market. Their open-weights reasoning model and lower training costs have made advanced AI more accessible and affordable for businesses. 
While questions surrounding open-weights models, hosting, and security still need to be addressed, the potential for innovation and wider adoption is undeniable. As the industry continues to evolve, DeepSeek&#8217;s impact will likely encourage further advancements and lower prices, making AI tools more accessible to everyone.
&nbsp;

DeepSeek’s Disruptive Entrance into the GenAI Market

With experience of training 10,000+ learners in 2024 for clients such as <a href="https://datatonic.com/case-studies/training-telia-upskilling-in-ai/">Telia</a> and Vodafone, Datatonic is upskilling leading businesses to prepare for what’s next in data + AI. These courses will join Datatonic’s existing offerings, which include Google Cloud fundamentals, GenAI, and Looker training.
FinOps, or financial operations, is a discipline that helps organizations understand and manage their cloud costs. By understanding how cloud resources are used and how they are billed, organizations can make informed decisions about how to optimize their cloud spending.
Following experience delivering large-scale FinOps platforms to save millions annually for global businesses, Datatonic’s FinOps courses, Getting Started with FinOps and Technical Foundations of FinOps on Google Cloud, are designed to help organizations of all sizes implement and manage a successful FinOps program. The courses cover a wide range of topics, enabling learners to:
<ul>
<li style="font-weight: 400;" aria-level="1">Understand the core principles of FinOps and how it bridges the gap between technology and finance in the cloud.</li>
<li style="font-weight: 400;" aria-level="1">Explore proven techniques to identify cost inefficiencies and optimize resource utilization.</li>
<li style="font-weight: 400;" aria-level="1">Utilize advanced monitoring tools and data-driven insights to track spending patterns, forecast costs, and make informed decisions.</li>
</ul>
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“We are excited to add FinOps courses to our training roster,” said Natasha Jones, Academy Lead. “FinOps is an essential discipline for any organization that wants to get the most out of their cloud investment. These courses will help organizations understand and manage their cloud costs, and make informed decisions about how to optimize their cloud spending.”
In addition to FinOps training, Datatonic continues to offer a comprehensive suite of courses designed to upskill individuals and organizations on the power of data and AI within Google Cloud. 
Datatonic’s FinOps courses are available online and in-person. For more information, please <a href="http://datatonic.com/contact">contact us</a>.

London, 30th January 2025 – Datatonic today announced the addition of FinOps courses to its training offering.

Datatonic Expands Training Offering for 2025 with FinOps Courses

Generative AI has accelerated adoption and transformation of AI across all areas of business, including customer service, revenue generation, back office, marketing, supply chain enhancements and more, generating <a href="https://www.mckinsey.com/~/media/mckinsey/mckinsey%20global%20institute/our%20research/the%20next%20big%20arenas%20of%20competition/the-next-big-arenas-of-competition_final.pdf" target="_blank" rel="noopener">up to $7.9 trillion annually</a>. Datatonic is dedicated to maintaining its position at the forefront of this technology in 2025.
In 2024, we saw many businesses transition from GenAI experimentation to GenAI transformation. 2025 is the year where businesses need to build upon this momentum in order to not be left behind. To ensure success, we have identified three areas of focus for 2025 that leading businesses need to tackle head-on: 
&nbsp;
<ol>
<li> Creating tangible value with GenAI agents and GenOps platforms</li>
</ol>
Generative AI Agents are revolutionizing the way businesses operate, simplifying operations, improving customer experiences, accelerating content creation, and more. We will continue to invest in this area and develop new and innovative ways to use Generative AI to help our customers, building upon work with <a href="https://datatonic.com/case-studies/hotelplan-generative-ai/" target="_blank" rel="noopener">Hotelplan</a>, <a href="https://datatonic.com/case-studies/cineverse-generative-ai/" target="_blank" rel="noopener">Cineverse</a>, and <a href="https://datatonic.com/case-studies/generative-ai-wizards-of-the-coast/" target="_blank" rel="noopener">Wizards of the Coast</a>. Additionally, in 2025, we will enable businesses to deploy use cases rapidly with GenOps platforms, following on from our successful collaboration building a platform to deploy 600+ use cases with Vodafone.
&nbsp;
<ol start="2">
<li> Enabling data-driven decision-making with analytics</li>
</ol>
Data-driven decision-making with analytics is essential, as it empowers businesses to transform raw data into actionable insights and make informed decisions that drive success. Datatonic will continue to assist leading businesses with Looker and analytics, alongside developing innovative tools, such as our Gemini-powered Migration Accelerator. 
As a Google Cloud partner with over 300+ Looker deployments, we will provide businesses with the expertise and support they need to get the most out of Looker, including Looker implementation and customization, enhancing Looker with Gemini, and ongoing support and maintenance with training and Managed Services.
&nbsp;
<ol start="3">
<li> Empowering people with new technology and ways of working</li>
</ol>
With rapid advances in technology, it can be easy for large businesses to fall behind and lose their competitive edge. <a href="https://datatonic.com/insights/datatonic-run-managed-services-announcement/" target="_blank" rel="noopener">Datatonic Run</a>, our Managed Services offering, was launched in October 2024, and is already empowering many client teams to increase impact and ROI via seamless support. 
We are excited to continue to provide this service, alongside training via Datatonic Academy, to our customers in 2025. Together, these offerings allow businesses to follow an Advise, Build, Train, Run approach to high-impact data and AI use cases, enabling them to easily keep up with the rapid developments in cloud technologies, and the skills required to leverage them successfully.
&nbsp;
&#8220;We are excited to enter 2025 with a clear focus on where businesses can use technology to gain the most value. This year is all about taking Generative AI use cases to the next level and really seeing the impact of them. These areas of focus will help our customers to achieve their business goals and we look forward to working with them, as well as Google Cloud, in the year ahead.&#8221; &#8211; Louis Decuypere, CEO, Datatonic.
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<div class="content single-post__content">
Want to learn more? <a href="https://datatonic.com/contact/" target="_blank" rel="noopener">Contact us today</a> to discover how Datatonic can help you continuously derive value from your data and AI solutions, ensuring a return on investment with every step.
</div>

Datatonic Kicks Off 2025 with Focus on Generative AI + GenOps, Data-Driven Decision-Making, and Empowering Employees

By earning this partner specialization, Datatonic has proven its expertise and success in providing training to enable Generative AI solutions for customers using Google Cloud technology. Datatonic has earned this specialization by demonstrating the successful delivery of specialized Gen AI learning pathways to industry-leading businesses, including: 
<ul>
<li style="font-weight: 400;" aria-level="1"><a href="https://datatonic.com/case-studies/training-telia-upskilling-in-ai/" target="_blank" rel="noopener">Telia</a>: Delivering data + AI upskilling and enablement events for both technical and non-technical audiences, upskilling over 50% (450+) of employees.</li>
<li style="font-weight: 400;" aria-level="1">Leading luxury brands: Enabling non-technical audiences with foundational Gen AI knowledge and upskilling on prompt engineering to drive adoption of internal chatbots.</li>
<li style="font-weight: 400;" aria-level="1">Global telecommunications companies: Tailored use-case specific Gen AI training including product specific architecture deep dives, demos and exercises to enable learners with real-world application experience.</li>
</ul>
Our <a href="https://cms.datatonic.com/app/uploads/2024/10/Datatonic-Academy-Specialization-Training-Pathway.png">Generative AI Training Pathway</a> offers a comprehensive overview of Generative AI on Google Cloud, empowering you with the skills you need to build powerful GenAI use cases across your business. 
<img loading="lazy" decoding="async" class="wp-image-24428 alignleft" src="https://cms.datatonic.com/app/uploads/2024/11/Training-outline-300x300.png" alt="" width="144" height="144" srcset="https://cms.datatonic.com/app/uploads/2024/11/Training-outline-300x300.png 300w, https://cms.datatonic.com/app/uploads/2024/11/Training-outline-150x150.png 150w, https://cms.datatonic.com/app/uploads/2024/11/Training-outline.png 726w" sizes="auto, (max-width: 144px) 100vw, 144px" />
“The companies that thrive in the AI era will be those that empower their teams with the skills to harness its potential. From enabling non-technical audiences with foundational knowledge to upskilling technical teams to drive the adoption of Gen AI, we’ve seen a massive impact on our clients using training to kick-start their Generative AI journeys. We are proud of our collaboration with Google Cloud and are delighted to have achieved the Generative AI &#8211; Training Specialization.” &#8211; Natasha Jones, Academy Lead
Our world class Datatonic Academy trainers deliver instructor-led courses across all areas of data + AI on Google Cloud, including Looker, data analytics, Machine Learning on the Vertex AI platform, and Generative AI. We look forward to helping clients adopt Google Cloud tools and technologies and drive business value. 
<a href="https://datatonic.com/contact/?utm_source=linkedin&amp;utm_medium=organic&amp;utm_campaign=Announcement_TrainingSpec_202411&amp;utm_term=" target="_blank" rel="noopener">Get in touch</a> to find out more about how our Academy can enable your teams on Google Cloud.

London, 5th November 2024 — Datatonic today announced that it has achieved the Generative AI &#8211; Training Partner Specialization in Google Cloud Partner Advantage.

Datatonic Achieves the Google Cloud Generative AI – Training Partner Specialization

17 OCT 2024 LONDON, MONTREAL AND WORLDWIDE &#8211; <a href="https://datatonic.com/" target="_blank" rel="noopener">Datatonic,</a> Google Cloud’s 9x Partner of the Year, today announced David Kress as its new global Chief Revenue Officer, responsible for hyper-growth across its operations which currently span the UK, Europe and North America.
Multi-award-winning Datatonic has been recognized by hyperscaler, Google, as Partner of the Year on nine separate occasions, and customers include telco giants like <a href="https://datatonic.com/case-studies/ai-booster-vodafone-supercharging-ai-ml-at-scale/" target="_blank" rel="noopener">Vodafone</a>, major online retailers, such as <a href="https://datatonic.com/case-studies/marketing-analytics-asos/" target="_blank" rel="noopener">ASOS</a> and industry leaders in gaming, media and entertainment. Kress joins from Microsoft partner, Advania UK, where he led GTM strategy, sales and marketing across the group. Prior to that, he was part of the highly successful Cloudreach executive team that was acquired by Atos.
Datatonic’s services are at the leading edge of modern digital infrastructure, blending strategy and deep technical expertise to speed innovation where talent is scarce and deadlines short. A key differentiator is the team&#8217;s experience in achieving tangible value with real-world GenAI applications, such as reducing invoice processing costs by 70% for <a href="https://datatonic.com/events/invoice-processing-bigquery-generative-ai-liberty-shared-services/" target="_blank" rel="noopener">Liberty Global</a>, and reducing customer churn by 15% for <a href="https://datatonic.com/events/cineverse-webinar/" target="_blank" rel="noopener">Cineverse</a> &#8211; with a suite of <a href="https://datatonic.com/insights/generative-ai-agents/" target="_blank" rel="noopener">five generative AI agents</a> that allow customers to catapult productivity with proven best practices. 
Datatonic’s CEO, Louis Decuypere: “The journey we have been on has been exhilarating to date and we have earned every one of our nine Google Partner awards. To achieve our mission, we need to attract the best of the best. David’s track record and vision for the future is just that. I look forward to making even bigger strides as leaders in this market.”
The Datatonic team is growing to meet the global demand for strategic technical partners. Its proven AI skills address a wide range of business issues and growth is outpacing the demand for all other professional and technical service markets.
Commenting on his appointment, Kress noted &#8220;This was an irresistible opportunity. Google has assembled an impressive portfolio of solutions under Vertex AI, Gemini and the Google Marketing Platform, which are delivering real and measurable customer value. The partner ecosystem remains fragmented and lacking in substantial experience with AI. Datatonic is the exception and this team is on a trajectory to dominate the market.” 
&nbsp;
About Datatonic
Datatonic, 9 X Google Cloud Partner of the Year, is the leading cloud data and AI consultancy for the industry-leading organizations, delivering tangible business impact at the cutting edge of Google Cloud.
As leaders in Generative AI, Datatonic provides high-impact, ROI-driven solutions that enhance decision-making, optimize operations, and revolutionize customer experiences. Our expertise extends beyond AI, offering comprehensive cloud data migration and marketing analytics solutions, training and managed services that empower businesses to unlock the full potential of their data.
For more information, visit <a href="https://datatonic.com/">https://datatonic.com</a>

New role underlines Google Cloud’s 9x Partner of the Year global growth ambitions

Datatonic Appoints CSP Partnering Veteran, David Kress, as Chief Revenue Officer

8 OCT 2024 LONDON, MONTREAL AND WORLDWIDE &#8211; <a href="https://datatonic.com/" target="_blank" rel="noopener">Datatonic,</a> a 9x Google Cloud Partner of the Year award-winning data + AI consultancy, has launched Datatonic Run, its new managed services capability. 
We’re redefining managed services with our unique approach that is focused on delivering continuous high impact and high value; designed to empower customers to operate and improve their data + AI solutions effectively. 
Expanding on the value delivered through Datatonic’s consulting services, Datatonic Run de-risks and accelerates customer adoption of data and AI solutions, by embedding post-production support directly into a customer’s data strategy.
Our aim is to unlock the full power of your data and AI investments, ensuring your platforms operate efficiently, remain secure and compliant, and support the innovation that drives business success. 
“We’ve been building robust and scalable data platforms for our clients for the past decade, and often see these platforms under utilized due to the capacity of teams to drive business cases, as opposed to managing the systems. Datatonic Run frees up the time required to keep systems running, secure and optimized, allowing clients to innovate quickly and develop transformative data + AI use cases that deliver tangible value to their businesses,” says Louis Decuypere, CEO of Datatonic.
<img loading="lazy" decoding="async" class="alignnone wp-image-24313" src="https://cms.datatonic.com/app/uploads/2024/10/Datatonic-Run-Graphic-300x187.png" alt="" width="800" height="499" srcset="https://cms.datatonic.com/app/uploads/2024/10/Datatonic-Run-Graphic-300x187.png 300w, https://cms.datatonic.com/app/uploads/2024/10/Datatonic-Run-Graphic-1024x640.png 1024w, https://cms.datatonic.com/app/uploads/2024/10/Datatonic-Run-Graphic-768x480.png 768w, https://cms.datatonic.com/app/uploads/2024/10/Datatonic-Run-Graphic-1536x960.png 1536w, https://cms.datatonic.com/app/uploads/2024/10/Datatonic-Run-Graphic-2048x1279.png 2048w" sizes="auto, (max-width: 800px) 100vw, 800px" />
What Makes Datatonic Run Different?
Engineering Excellence: Our team of highly experienced AI, ML, and Data engineers bring a deep understanding of data management best practices. We leverage cutting-edge technologies and methodologies to deliver robust, scalable, and efficient solutions.
Tailored to Your Use Cases: Every business is unique, and so are its data needs. Whether you want to securely deploy Generative AI models, build a Marketing Analytics platform, or implement predictive analytics, Datatonic Run offers tailored solutions that support your specific use cases.
Modernization on Demand: As your business evolves, so do your data requirements. Datatonic Run has been designed to scale with your needs, providing support and guidance at every stage of your maturity, from initial data governance to advanced Generative AI agents. 
Driving Adoption: Successful data initiatives require investment in ensuring users have adequate support for solutions, alongside technical upskilling with engineering know-how available to fine-tune solutions to their needs.
Our success is measured by the impact we deliver. For instance, we partnered with <a href="https://datatonic.com/case-studies/marketing-analytics-asos/" target="_blank" rel="noopener">ASOS to support its Marketing Analytics platform</a>, helping process over 1 billion events daily, driving data-driven decision-making at scale.
Want to learn more? <a href="https://datatonic.com/contact/" target="_blank" rel="noopener">Contact us today</a> to discover how Datatonic Run can help you continuously derive value from your data and AI solutions, ensuring a return on investment with every step.

Enabling our customers to realize their investment in data platforms through our expert engineering, best-in-class tooling, and flexible management offerings.

Generative AI

Agentspace

Retail Assistant

Gameplay Assistant

Fan Engagement

Media Search + Discovery

Creative Assistant

Cloud Data Migration

Managed Services

Marketing Analytics

Looker

Retail

Telecommunications

Gaming

Media

Financial Services

Events

Whitepapers

Insights

Datatonic Wins Google Cloud Partner of the Year Award for Data + Analytics in EMEA

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