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Didn&#8217;t get a chance to attend <a href="https://coalesce.getdbt.com/" target="_blank" rel="noopener">dbt Coalesce</a>?
Hear from Datatonic’s Lead Data Architect, Ash Sultan, DevOps Lead, Alex Peissel, and Senior Cloud Architect, Stan Hill, as they explore using modern data analytics at scale with dbt!
Learn how you can reduce your time to insights, increase the productivity of your data teams, and optimise your costs.
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Datatonic, 5x Google Cloud Partner of the year, is the leading cloud data + AI consultancy for the world’s most ambitious brands, challenging traditions to deliver tangible innovation at the leading edge of Google Cloud. Learn about our experience with <a href="https://datatonic.com/partners/dbt/" target="_blank" rel="noopener">dbt</a>, and <a href="https://datatonic.com/contact/" target="_blank" rel="noreferrer noopener">contact us</a> to find out more.
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<h1>Download 
the guide</h1>
A guide by data leaders, for data leaders, looking to turn Data Mesh principles into practice on Google Cloud.

Enterprise MDS Deployment at Scale: dbt + DevOps

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="(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.” 
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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="(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.

Introducing Datatonic Run: Managed Services Redefined for Transformative Data + AI Platforms

Providing Access to Energy with UNDP

<img loading="lazy" decoding="async" class=" wp-image-24006 alignleft" src="https://cms.datatonic.com/app/uploads/2024/08/Generative-AI-outline-300x300.png" alt="Generative AI Specialization" width="189" height="189" srcset="https://cms.datatonic.com/app/uploads/2024/08/Generative-AI-outline-300x300.png 300w, https://cms.datatonic.com/app/uploads/2024/08/Generative-AI-outline-150x150.png 150w, https://cms.datatonic.com/app/uploads/2024/08/Generative-AI-outline.png 720w" sizes="(max-width: 189px) 100vw, 189px" />
London, 21st August 2024 — Datatonic today announced that it has become one of the first partners to achieve the Generative AI &#8211; Services Partner specialization in the Google Cloud Partner Advantage Program. By earning the partner specialization, Datatonic has proven its expertise and success in building powerful Generative AI solutions for customers using Google Cloud technology.
Datatonic has received this specialization following the successful implementation of high-ROI GenAI projects for industry-leading businesses, including: 
<ul>
<li style="font-weight: 400;" aria-level="1">Developing an invoice processing solution to reduce 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>.</li>
<li style="font-weight: 400;" aria-level="1">Enabling Swiss tour operator, <a href="https://datatonic.com/case-studies/hotelplan-generative-ai/" target="_blank" rel="noopener">Hotelplan Suisse</a>’s 500+ sales staff, to provide perfect holiday recommendations in minutes instead of hours.</li>
<li style="font-weight: 400;" aria-level="1">Revamping the streaming experience by creating cineSearch, <a href="https://datatonic.com/insights/datatonic-cineverse-generative-ai-movie-recommendations-google-cloud/" target="_blank" rel="noopener">Cineverse</a>’s GenAI-powered search and discovery agent to reduce search times by 90% and customer churn by 15%.</li>
</ul>
Based on this experience, Datatonic has recently launched <a href="https://datatonic.com/insights/generative-ai-agents/" target="_blank" rel="noopener">five powerful Generative AI Agents</a> that focus on key business areas and drive value through enabling clients to enhance their customer service, personalization, content and marketing, back office operations and support employee productivity.
“We’re seeing a massive impact with Generative AI for our clients. We&#8217;re passionate about creating innovative new solutions and feel privileged that our customers choose us to support their data and AI journeys. 
Our five Generative AI Agents have simplified these journeys, enabling our clients to overcome common prioritization challenges caused by Generative AI’s versatility and rapid development and start seeing real results fast. We are proud of our deep collaboration with Google Cloud and are delighted to have been awarded the Generative AI specialization.” &#8211; Andy Harding, CTO at Datatonic
We look forward to our continued collaboration with Google Cloud, helping clients drive value from their data with our GenAI <a href="https://datatonic.com/services/generative-ai/?utm_source=linkedin&amp;utm_medium=organic&amp;utm_campaign=Announcement_MASpecialization_202307&amp;utm_term=" target="_blank" rel="noopener">Agents</a>, as well as <a href="https://datatonic.com/services/cloud-data-migration/" target="_blank" rel="noopener">cloud migrations</a>, <a href="https://datatonic.com/services/marketing-analytics/" target="_blank" rel="noopener">marketing analytics</a>, and <a href="https://datatonic.com/services/" target="_blank" rel="noopener">more</a>.
<a href="https://datatonic.com/services/generative-ai/genai-agent-request/" target="_blank" rel="noopener">Get in touch</a> to find out more about how our Five Generative AI Agents can help your business.

Datatonic Achieves the Google Cloud Generative AI – Services Partner Specialization

While 90% of business leaders acknowledge GenAI&#8217;s potential to enhance various roles (<a href="https://www.insight.com/content/dam/insight-web/en_US/pdfs/insight/beyond-hypotheticals--understanding-the-real-possibilities-of-generative-ai.pdf">Insight, 2024</a>), three core challenges remain to realizing business value: 
<ol>
<li style="font-weight: 400;" aria-level="1">The Paradox of Choice: The overwhelming number of potential GenAI applications has made it increasingly difficult to pinpoint high-impact use cases aligned to the business’ strategic objectives.</li>
<li style="font-weight: 400;" aria-level="1">Innovation Paralysis: The lightning-fast advancements in technology is causing organizational paralysis to manage novelty, against complexity and risk. </li>
<li style="font-weight: 400;" aria-level="1">Quick to experiment, hard to scale: The rapid evolution of GenAI has left a gap in industry best practices that maximize business ROI and minimize risk (such as model inaccuracy and security threats).</li>
</ol>
Based on the expertise gained by delivering 70+ Generative AI projects over the past year, Datatonic has developed five Generative AI Agents to address these challenges and help businesses transform key business workstreams. 
<img loading="lazy" decoding="async" class="alignnone wp-image-23893" src="https://cms.datatonic.com/app/uploads/2024/07/Datatonic-Generative-AI-Agents-300x75.png" alt="" width="964" height="241" srcset="https://cms.datatonic.com/app/uploads/2024/07/Datatonic-Generative-AI-Agents-300x75.png 300w, https://cms.datatonic.com/app/uploads/2024/07/Datatonic-Generative-AI-Agents-1024x256.png 1024w, https://cms.datatonic.com/app/uploads/2024/07/Datatonic-Generative-AI-Agents-768x192.png 768w, https://cms.datatonic.com/app/uploads/2024/07/Datatonic-Generative-AI-Agents-1536x383.png 1536w, https://cms.datatonic.com/app/uploads/2024/07/Datatonic-Generative-AI-Agents-2048x511.png 2048w" sizes="(max-width: 964px) 100vw, 964px" />
<ol>
<li> Content + Marketing Agent: Assist your marketing and content teams with faster content generation, accurate messaging and performance analysis, to improve productivity and sales.</li>
<li> Personalization Agent: Provide personalized experiences to improve conversion, sales &amp; loyalty, through content recommendations and conversational assistance. <a href="https://datatonic.com/events/cineverse-webinar/">Cineverse</a> is reducing user search times by 90%, and customer churn by 15+% with this agent.</li>
<li> Customer Service Agent: Offer frictionless service at a lower cost and improve customer satisfaction, with enhanced virtual assistance and conversational commerce. <a href="https://datatonic.com/case-studies/hotelplan-generative-ai/">Hotelplan Suisse</a> is using Generative AI to combine the expertise of 500+ travel experts and provide personalized holiday itineraries within minutes. </li>
<li> Back Office Agent: Automate repetitive back office tasks, such as invoice processing or legal document drafting, to accelerate efficiency and reduce operating costs. Our GenAI-powered invoice matching solution for <a href="https://datatonic.com/events/invoice-processing-bigquery-generative-ai-liberty-shared-services/">Liberty Global</a> is reducing invoice processing costs by 70% and significantly reducing manual effort.</li>
<li> Productivity + Insights Agent: Support your employees with relevant insights, using analytics assistants and HR knowledge workers, to increase productivity and improve decision-making.</li>
</ol>
&#8220;Datatonic&#8217;s GenAI Agents were designed to target a specific business area and address a particular need or challenge. These solutions are customized to fit your existing setup, ensuring efficient achievement of your business goals. 
For example, if you are struggling to offer hyper-personalized user journeys to your customers, you can quickly solve this with our Personalization Agent, which contains modules that augment traditional recommenders using GenAI-powered user profiles, streamline product search &amp; discovery, and dynamically change UIs based on user preferences.” 
&#8211; Valentin Cojocaru, Head of Data Science, Datatonic
Datatonic empowers you throughout your GenAI journey, acting as your end-to-end partner. Our experts guide you from initial exploration to successful implementation, ensuring a strategic approach, meeting you wherever you are. We provide seamless PoC to production transitions, secure scalability, ongoing Managed Services, and <a href="https://cms.datatonic.com/app/uploads/2024/07/Datatonic-Academy-GenAI-Training-Pathway.pdf" target="_blank" rel="noopener">Datatonic Academy</a> training to maximize GenAI impact.
Do you need help prioritizing or scaling your GenAI initiatives? <a href="https://datatonic.com/services/generative-ai/genai-agent-request/" target="_blank" rel="noopener">Get in touch</a>.

18th July 2024 &#8211; Google Cloud&#8217;s 9x Partner of the Year, Datatonic, unveils a suite of five Generative AI (GenAI) Agents designed to unlock the transformative potential of GenAI securely and swiftly on Google Cloud.

Datatonic’s Five Generative AI Agents Fast-track AI-Driven Value

Datatonic has won the Google Cloud Services Partner of the Year award for both the UK/IE and Alps regions. This is strong recognition of our ongoing partnerships with leading businesses, such as <a href="https://datatonic.com/case-studies/ai-booster-vodafone-supercharging-ai-ml-at-scale/" target="_blank" rel="noopener">Vodafone</a>, <a href="https://datatonic.com/case-studies/bt-ai-accelerator-artificial-intelligence/" target="_blank" rel="noopener">BT</a>, and <a href="https://datatonic.com/case-studies/marketing-analytics-asos/" target="_blank" rel="noopener">ASOS</a>, and our expansion throughout the Alps working with leading luxury retailers and travel companies. 
Datatonic was also named Google Cloud Industry Solution &#8211; Services Partner of the Year for Gaming, recognizing the impact of collaborations with leading game developers, including our <a href="https://datatonic.com/case-studies/hiber-gaming-generative-ai-world-creation/" target="_blank" rel="noopener">Generative AI text-to-3D-world tool</a> developed in partnership with Hiber. 
Datatonic’s Google Cloud Specialization Partner of the Year win in the Marketing Analytics category demonstrates its commitment to unlocking valuable insights with data + AI to help businesses, such as <a href="https://datatonic.com/case-studies/marketing-analytics-asos/" target="_blank" rel="noopener">ASOS</a>, increase personalization and strengthen the relationships with their customers. 
Solidifying the long-standing partnership and proven expertise in creating impactful solutions for joint clients, Datatonic received two services, one industry and one specialization award:
&nbsp;
<ul>
<li style="font-weight: 400;" aria-level="1">Google Cloud Services Partner of the Year – UK/IE</li>
<li style="font-weight: 400;" aria-level="1">Google Cloud Services Partner of the Year – Alps</li>
<li style="font-weight: 400;" aria-level="1">Google Cloud Industry Solution &#8211; Services Partner of the Year – Gaming</li>
<li style="font-weight: 400;" aria-level="1">Google Cloud Specialization Partner of the Year – Marketing Analytics</li>
</ul>
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<img loading="lazy" decoding="async" class="alignnone wp-image-23622" src="https://cms.datatonic.com/app/uploads/2024/04/Google-Cloud-Partner-of-the-Year-300x102.png" alt="Google Cloud Partner of the Year" width="750" height="255" srcset="https://cms.datatonic.com/app/uploads/2024/04/Google-Cloud-Partner-of-the-Year-300x102.png 300w, https://cms.datatonic.com/app/uploads/2024/04/Google-Cloud-Partner-of-the-Year-1024x347.png 1024w, https://cms.datatonic.com/app/uploads/2024/04/Google-Cloud-Partner-of-the-Year-768x260.png 768w, https://cms.datatonic.com/app/uploads/2024/04/Google-Cloud-Partner-of-the-Year-1536x520.png 1536w, https://cms.datatonic.com/app/uploads/2024/04/Google-Cloud-Partner-of-the-Year-2048x693.png 2048w" sizes="(max-width: 750px) 100vw, 750px" />
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&#8220;We are thrilled to be taking home four awards this year to celebrate the success of our Google Cloud partnership in some of our key markets, but also for the industry and solution impact we&#8217;re making. This recognition is a great boost for our team to keep pushing for maximum customer impact with the rapidly evolving Google Cloud data and AI technology that we have specialized in since 2015.” &#8211; Louis Decuypere, CEO, Datatonic
“Google Cloud&#8217;s Partner Awards celebrate the transformative impact and value that partners have delivered for customers,&#8221; said Kevin Ichhpurani, Corporate Vice President, Global Ecosystem and Channels at Google Cloud. &#8220;We&#8217;re proud to announce Datatonic as a 2024 Google Cloud Partner Award winner and recognize their achievements enabling customer success from the past year.”
Datatonic is leveraging Google Cloud’s latest technologies to enable clients to become data-driven organizations and unlock new business models, services, products and processes, as well as innovating with AI, Machine Learning, and Generative AI.
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About Datatonic
Datatonic is the leading cloud data + AI consultancy for the world’s most ambitious businesses, challenging traditions to deliver tangible innovation at the leading edge of Google Cloud. Datatonic works with industry-leading organizations to unlock the value of data and solve their most complex business challenges fast; delivering more accurate predictions, automating decisions, optimizing processes and improving customer experiences, and helping clients do the same by upskilling tech teams to stay ahead of what’s next.
For more information, visit <a href="https://datatonic.com/" target="_blank" rel="noopener">https://datatonic.com/</a>.
Take a look at our <a href="https://datatonic.com/events/" target="_blank" rel="noopener">upcoming events</a> to learn about Generative AI, Marketing Analytics, and upskill on all things data + AI. 
For press enquiries, contact <a href="mailto:oliver.webb@datatonic.com" target="_blank" rel="noopener">oliver.webb@datatonic.com</a>.

London, April 8, 2024 – Datatonic today announced that it has won four 2024 Google Cloud Partner of the Year Awards, demonstrating its impact and commitment to being the leading data + AI partner for customers to generate business value with Google Cloud, globally.

Datatonic Wins Four 2024 Google Cloud Partner of the Year Awards

Earlier this week, Datatonic and Cognify Search’s Stacked Pathways hosted our Inspiring Women in Data and Analytics panel. Our panelists were five women data leaders: Naomi Johnson, Director of Data Platform at Lyst, Priya O’Shea, Partner Sales Manager at Google Cloud, Jessica Franks, Senior Engineering Manager at Not On The High Street and Rachel Christian, Senior Manager at GoCardless, with Amber Cella, Co-Founder at Datatonic Academy, hosting the panel.
They discussed their career journeys as women, and how they overcame common challenges in their industries. Today, we share their key messages and responses to frequently asked questions from the audience. 
The tech industry, often hailed for its innovation and advancement, has long grappled with gender disparities. Despite progress, women in tech still face numerous challenges, ranging from assumptions about their expertise to the burden of imposter syndrome. Hear from our panelists about challenges they faced, and how they overcame them.
<img loading="lazy" decoding="async" class="alignnone wp-image-23582" src="https://cms.datatonic.com/app/uploads/2024/03/IMG_2070-300x200.jpg" alt="Women in Data and Analytics Panel" width="600" height="400" srcset="https://cms.datatonic.com/app/uploads/2024/03/IMG_2070-300x200.jpg 300w, https://cms.datatonic.com/app/uploads/2024/03/IMG_2070-1024x683.jpg 1024w, https://cms.datatonic.com/app/uploads/2024/03/IMG_2070-768x512.jpg 768w, https://cms.datatonic.com/app/uploads/2024/03/IMG_2070-1536x1024.jpg 1536w, https://cms.datatonic.com/app/uploads/2024/03/IMG_2070-2048x1365.jpg 2048w" sizes="(max-width: 600px) 100vw, 600px" />
<h4>Assumptions and Bias in Expertise</h4>
One recurring theme of the panel highlighted a prevalent issue: the assumption that women are less senior or knowledgeable. 
“With a consulting background, I’ve had experiences in the past where myself and male colleagues have been presenting and even as the most senior person there, questions were directed to male colleagues.” &#8211; Rachel Christian, Senior Manager, GoCardless.
This biased behavior not only undermines women&#8217;s expertise but also starts a cycle where they must make a significant effort to simply prove themselves worthy of respect and recognition.
Jess Franks, Senior Engineering Manager at Not On The High Street, echoed this sentiment, emphasizing the need for women to go above and beyond to prove their capabilities. The transition between managers poses a particular challenge, as preconceived notions can overshadow qualifications that would have been evident in job interviews and formal hiring processes. 
Our speakers stressed the importance of overcoming these biases, urging women to seize opportunities presented to them and to not be afraid to assert their worth, by volunteering to answer questions and proving their knowledge.
<h4>Navigating Male-Dominated Spaces</h4>
Priya&#8217;s narrative shed light on the isolation experienced by women in tech, especially those from underrepresented backgrounds. 
“I’ve often found myself in a room as the only female, only brown person and only person under the age of fifty. It can feel uncomfortable not being around people with similar backgrounds and having to mention or subtly show how long you’ve been there instead of people thinking you’re the new intern.” &#8211; Priya O’Shea, Partner Sales Manager, Google Cloud
As the only female or minority in the room, it can be easy to feel additional scrutiny and the need to validate your presence. This emphasizes the importance of intentional networking and seeking support from communities and people in similar positions. By actively engaging with peers and mentors, women can create meaningful connections vital for professional growth, and become more confident in these situations. 
<h4>Confronting Imposter Syndrome</h4>
Imposter syndrome, a pervasive challenge for women in tech, undermines confidence and stifles progress. Naomi Johnson, Director of Data Platform at Lyst, reflected on her career journey, acknowledging the need to combat self-doubt and embrace your achievements. This can be done by maintaining a strong internal dialogue and keeping a record of positive outcomes at work to remind yourself of your success and abilities. 
A Hewlett Packard internal report found that men are significantly less likely to self-reject when applying to jobs; men apply for a job when they meet only 60% of the qualifications, but women are only likely to apply only if they meet 100% of them.
“I spent so many years being terrified and feeling like I got lucky, thinking that if people look hard enough they’d see I’m not qualified. I didn’t get lucky, I’m smart, I earned my way here. Enough of the imposter syndrome.” &#8211; Rachel Christian, Senior Manager, GoCardless.
Rachel&#8217;s advice to her younger self resonates with many women battling imposter syndrome. She urges them to recognize their worth and reject the notion of luck by reminding yourself that even if you are the only woman in the room, you earnt your way there. By embracing their intelligence and placing emphasis on accomplishments, women can shatter the idea of self-doubt and thrive in their careers with confidence.
<h4>Embracing Opportunities and Growth</h4>
One of the key themes that emerged was the need to seize opportunities and embrace growth, despite fears or setbacks. Whether it&#8217;s confronting public speaking or pursuing new endeavors, there is transformative power in stepping outside of your comfort zone. 
“I hate public speaking but I’ve been putting myself forward for things ever since I was first asked to speak. I still feel nervous when I do it, but a little bit less, and I’ve met so many amazing people through doing it. When it scares you it’s probably what you should be trying to do.” &#8211; Naomi Johnson, Director of Data Platform, Lyst
Priya&#8217;s advice highlights the importance of perseverance and self-assurance, reminding women that career paths are not linear and comparing ourselves to our colleagues or friends is not always useful. 
“It&#8217;s not always helpful to compare yourself to other people. If it sounds good to you, go and do it. If you’re passionate about it or have an interest in it, your ability to succeed will be so much greater. Stop worrying about what you’re leaving behind and focus on what will make you happy. You have to enjoy what you do.” &#8211; Priya O’Shea, Partner Sales Manager, Google.
<h4>Conclusion</h4>
Our speakers provided many perspectives on the challenges and triumphs of women in the tech industry, but the same recurring themes shone through. Despite facing biases, isolation, and self-doubt, these women navigate their careers with resilience. Through mentorship, community support, and self-advocacy, they pave the way for future generations of women in tech, challenging norms and fostering a more inclusive and equitable industry. 
Find out more about <a href="https://cognifysearch.com/stackedpathways/" target="_blank" rel="noopener">Stacked Pathways</a> mentoring, and take a look at our <a href="https://www.eventbrite.co.uk/o/datatonic-academy-ltd-62058669953" target="_blank" rel="noopener">upcoming free training sessions</a> to see how you can learn more to take the next step in your data + AI career.
Looking to take your next step? Take a look at our <a href="https://datatonic.com/careers/vacancies/" target="_blank" rel="noopener">current vacancies</a>.
Datatonic is Google Cloud’s 5x Partner of the Year with a wealth of experience developing data + AI solutions for leading businesses. <a href="https://datatonic.com/contact/" target="_blank" rel="noopener">Get in touch</a> to kickstart your data + AI journey.

Coding Confidence: Inspiring Women in Data and Analytics

Every day, over 1 billion people globally use streaming services to find their next favorite movies, TV shows, and music albums. Cineverse wanted to take the searching experience to the next level. 
The growing abundance of content and content sources is becoming overwhelming for audiences; users now spend an average of <a href="https://www.nielsen.com/insights/2023/data-driven-personalization-2023-state-of-play-report/" target="_blank" rel="noopener">10-and-a-half minutes</a> searching for something to watch, with 20% abandoning their search and doing something else instead.
With this in mind, Cineverse, Datatonic, and Google Cloud set out to develop an AI-powered search and discovery tool designed to make deciding what to watch as entertaining as the movie itself. 
Its new &#8220;artificial intelligence-based video advisor&#8221; will be launched initially with the persona known simply as &#8220;Ava.&#8221; The primary persona, Ava, was developed to be the ultimate movie nerd: Part critic. Part drinking buddy. All cinephile. Future updates will involve building out a collection of personas to suit different users&#8217; tastes and moods. 
The Ava persona, including its personality and language, was meticulously created by Cineverse, and brought to life through a combination of prompt engineering and LLM fine tuning. 
<img loading="lazy" decoding="async" class="alignnone wp-image-23516" src="https://cms.datatonic.com/app/uploads/2024/03/Cineverse-Icons-300x169.png" alt="Cineverse Generative AI Icons" width="625" height="352" srcset="https://cms.datatonic.com/app/uploads/2024/03/Cineverse-Icons-300x169.png 300w, https://cms.datatonic.com/app/uploads/2024/03/Cineverse-Icons-1024x576.png 1024w, https://cms.datatonic.com/app/uploads/2024/03/Cineverse-Icons-768x432.png 768w, https://cms.datatonic.com/app/uploads/2024/03/Cineverse-Icons-1536x864.png 1536w, https://cms.datatonic.com/app/uploads/2024/03/Cineverse-Icons-2048x1152.png 2048w" sizes="(max-width: 625px) 100vw, 625px" />
“Built entirely on Google Cloud, cineSearch leverages a sophisticated system of multiple Large Language Models that guides users through a highly personalized user journey to deliver content recommendations tailored to individual preferences. Under the hood, Ava’s Large Language Models and semantic retrieval methods recognize both highly specific, such as genre, decade and actors, and nuanced user intents, such as cinematic mood and atmosphere, as well as combinations of these. 
A collection of guardrails and Google Cloud security best practices ensure the solution is safe, robust and ethical. A monitoring and alerting system scans both user inputs for malicious attacks, inappropriate and off-topic messages, and LLM outputs for unintended behaviors.
The heart of the technology lies in creating a natural and engaging interaction that is designed to ensure the users feel comfortable and empowered throughout their discovery process. We are confident that cineSearch can satisfy even the most eclectic cinematic tastes.” &#8211; Valentin Cojocaru, Head of Data Science, Datatonic
To ensure cineSearch fulfills its purpose, it was developed with crucial features, such as guardrails and LLM best practices to reduce risk for Cineverse by avoiding unintended replies from the chatbot and keeping the conversation on the topic of movies. cineSearch will also provide direct links to where its recommendations can be purchased or streamed.
&#8220;Effective search and discovery is currently the most pressing problem for users of streaming services today,&#8221; says Tony Huidor, Chief Technology Officer &amp; Chief Operating Officer of Cineverse. &#8220;We first developed cineSearch as an answer to our own problem. Using Google Cloud&#8217;s Vertex AI platform, we now have the ability to expand this feature well beyond our initial expectations. We feel this is a great example of leveraging the power of AI to not only create better user experiences, but to also help aid in the discovery of great films that fans may not have otherwise found.&#8221;
&#8220;Generative AI has the potential to fundamentally transform the media industry, fueling a new era of cloud-enabled capabilities that can significantly improve the consumer experience,&#8221; said Anil Jain, Global Managing Director of Strategic Consumer Industries at Google Cloud. &#8220;By leveraging Google Cloud&#8217;s leading gen AI capabilities, cineSearch can further personalize and streamline the user experience, providing viewers a vastly improved way to discover new content, with relevant recommendations for movies and television shows at their fingertips.&#8221;
The partnership will enable Cineverse to rapidly embark on new data + AI initiatives, leading to improved customer experience, and operational efficiencies.
“Cineverse is thrilled to partner with Google and Datatonic for the cineSearch project,” Huidor says. “We needed all hands on-deck to do something that’s never been done before. Internally, we’ve joked that it was our ‘Avengers, assemble’ moment – bringing together the best in both streaming and GenerativeAI, and I’m excited for everyone to see what we’ve been working on.” 
To keep up to date with cineSearch and try it out for yourself, join the <a href="https://cinesearch.com/waitlist/" target="_blank" rel="noopener">public beta waitlist</a>.

London, March 11, 2024 &#8211; Datatonic is thrilled to announce its partnership with leading global streaming technology and entertainment company, Cineverse, to develop its Generative AI-powered movie search platform, cineSearch, using Google Cloud’s Vertex AI Search.

Datatonic Partners with Cineverse to Deliver Generative AI Movie Recommendations

Author: Thomas Udale, Senior ML Trainer
Prompt engineering has quickly become a hot topic in the world of Large Language Models (LLMs) for a good reason; without it, the models are much less capable of generating relevant outputs. Prompt engineering gives users and enterprises the tools to tune both the knowledge base of the model and the output it produces. In this blog, we explore the relevance of prompt engineering and look at how consumers and enterprise users can improve LLM output to create more value with Generative AI. 
<h3>What is prompt engineering?</h3>
<a href="https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-prompt-engineering" target="_blank" rel="noopener">Prompt engineering</a> is “the practice of designing inputs for generative AI tools that will produce optimal outputs”. This allows businesses to provide the LLM with additional information and context, that improves the quality and relevance of its responses to questions or tasks.
<img loading="lazy" decoding="async" class="alignnone wp-image-23474" src="https://cms.datatonic.com/app/uploads/2024/02/Prompt-Engineering-300x143.png" alt="Prompt Engineering Example" width="773" height="368" srcset="https://cms.datatonic.com/app/uploads/2024/02/Prompt-Engineering-300x143.png 300w, https://cms.datatonic.com/app/uploads/2024/02/Prompt-Engineering-1024x486.png 1024w, https://cms.datatonic.com/app/uploads/2024/02/Prompt-Engineering-768x365.png 768w, https://cms.datatonic.com/app/uploads/2024/02/Prompt-Engineering-1536x730.png 1536w, https://cms.datatonic.com/app/uploads/2024/02/Prompt-Engineering.png 1600w" sizes="(max-width: 773px) 100vw, 773px" />
Traditional (if two years is long enough for traditions) prompt engineering focused on changing the user prompt to change the content, style, and format of model responses. Adding in context, asking for bullet points, or even adding a few examples of prompt-response pairs are all ways in which we can change the model output.
These are time-efficient methods for improving the quality of response by bringing output closer to our implicit expectations. We can even use prompts to guide the model into better logical reasoning by explaining the required thinking process, through <a href="https://www.promptingguide.ai/techniques/cot" target="_blank" rel="noopener">Chain-of-Thought (CoT) prompting</a>. 
<h3>Why do we need prompt engineering?</h3>
The key idea in traditional prompt engineering is to better leverage the internal knowledge in the models, gleaned from billions of training sentences. The models have internalized a great number of patterns from this training data, including any biases, false information, and inappropriate language! Guiding the model to replicate patterns closer to our desired output is the end goal of traditional prompt engineering. 
<img loading="lazy" decoding="async" class="alignnone wp-image-23473" style="font-family: Georgia, 'Times New Roman', 'Bitstream Charter', Times, serif;" src="https://cms.datatonic.com/app/uploads/2024/02/Prompt-Engineering-2-300x187.png" alt="Prompt Engineering Example" width="483" height="301" srcset="https://cms.datatonic.com/app/uploads/2024/02/Prompt-Engineering-2-300x187.png 300w, https://cms.datatonic.com/app/uploads/2024/02/Prompt-Engineering-2-1024x640.png 1024w, https://cms.datatonic.com/app/uploads/2024/02/Prompt-Engineering-2-768x480.png 768w, https://cms.datatonic.com/app/uploads/2024/02/Prompt-Engineering-2.png 1231w" sizes="(max-width: 483px) 100vw, 483px" />
Training LLMs is difficult. It required vast quantities of data, data centers full of GPUs and TPUs whirring away for days on end, as well as strong technical knowledge requirements around networking to move data and coordinate hardware for training. 
This is why larger companies, such as Google have produced many of the top-performing models of the last few years. This also means that they have control over the data that is fed into the models.
<h3>The history of LLMs and prompt engineering</h3>
Looking at the context window of LLM models helps us to understand why prompt engineering is now so relevant. In 2017, an early LLM, <a href="https://en.wikipedia.org/wiki/BERT_(language_model)" target="_blank" rel="noopener">BERT</a>, had a context window of 512 tokens. That meant you could feed roughly 500 words into your model at once. This is a big limitation that would be overcome as models became ever larger. 
The largest models now have context windows of over 1 million tokens, which means you can feed novels into them. This has also opened the door to bringing in external knowledge to an LLM via the prompt. 
<h3>The impact of prompt engineering</h3>
Techniques such as retrieval augmented generation (RAG) allow models to bring in relevant information from external sources into the prompt, where the model can be asked to make sense of and use the new text. 
Without having to retrain the model (a time-consuming, expensive process), enterprises can leverage their own unstructured data to improve LLM output. This is the real step forward in prompt engineering. Expanding the set of patterns the model has access to, with information particularly relevant to your task is a vital way to bring enterprise use cases, such as chatbots, knowledge workers, and analytics assistants, to life. 
<h3>Conclusion</h3>
To summarise, prompt engineering broadly falls into two categories. Firstly, to make better use of the internalized patterns from the training data. Second, to help bring in external knowledge from company documentation, enhancing the patterns that the model can use to generate responses. With prompt engineering, users can receive more relevant and useful outputs from LLMs, increasing efficiency and giving them the information they need faster. 
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Want to get started? Secure your spot on our free Prompt Like a Pro taster session and embark on a transformative journey into the world of Generative AI. Visit our <a href="https://datatonic.com/events/" target="_blank" rel="noopener">event page</a> for more information and to register.
Turn Generative AI hype into business value with our workshops and packages. <a href="https://datatonic.com/contact" target="_blank" rel="noopener">Get in touch</a> to discuss your Generative AI, ML, or MLOps requirements!

Prompt Engineering 101: Using GenAI Effectively

To remain competitive, businesses strive to stay ahead by embracing cloud technologies and optimizing their data infrastructure. A successful data migration to Google Cloud can lead to many benefits, such as increased efficiency, higher team satisfaction, and unlock new streams of revenue with advanced analytics and AI. 
In this blog, we’ll look at data migration, shedding light on the common challenges that organizations face. From handling skills gaps when <a href="https://datatonic.com/events/driving-analytics-adoption-with-admiral-insurance/" target="_blank" rel="noopener">adopting the new platform</a> to addressing security concerns and mitigating downtime, each data migration stage presents unique hurdles that impact its overall success. We’ll look at how to overcome or avoid these challenges and how Datatonic’s Turbo Data Migration Framework ensures a seamless data migration.  

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<img loading="lazy" decoding="async" class="alignnone wp-image-23450" src="https://cms.datatonic.com/app/uploads/2024/02/Turbo-Data-Migration-Framework-300x226.png" alt="" width="700" height="527" srcset="https://cms.datatonic.com/app/uploads/2024/02/Turbo-Data-Migration-Framework-300x226.png 300w, https://cms.datatonic.com/app/uploads/2024/02/Turbo-Data-Migration-Framework-1024x772.png 1024w, https://cms.datatonic.com/app/uploads/2024/02/Turbo-Data-Migration-Framework-768x579.png 768w" sizes="(max-width: 700px) 100vw, 700px" />
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<h3>1. Skill Gaps</h3>
As data migration involves transferring data from one system to another, it often requires <a href="https://datatonic.com/insights/building-data-fluency-throughout-your-business/" target="_blank" rel="noopener">expertise in both the source and target systems</a>, as well as a comprehensive understanding of the data structures and formats involved. 
In this complex process, the absence of teams skilled in these systems can lead to various complications. Without individuals proficient in data mapping, extraction, transformation, and loading (ETL) processes, businesses may encounter difficulties in preserving data integrity, ensuring accuracy, and mitigating potential data quality issues. 
Furthermore, a lack of proficiency in data security and compliance may expose companies to risks, such as data breaches or regulatory non-compliance. 
Bridging these skill gaps requires a multidisciplinary approach, focusing on upskilling, such as through co-development or <a href="https://datatonic.academy/" target="_blank" rel="noopener">ongoing training</a> during the migration to ensure everyone has the skills required to leverage the new platform. 
“Datatonic embraces a collaborative approach, taking our clients&#8217; teams on the migration journey with us. By the project’s conclusion, we aim to ensure we leave behind a high-performing team, well-equipped to handle the maintenance of a state-of-the-art cloud platform.” &#8211; Tom Pindar, Business Intelligence Lead 
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<h3>2. Setting unrealistic expectations</h3>
Setting unrealistic expectations and timelines can pose a significant challenge during data migration. Eager to get onto a new cloud platform, businesses may underestimate the complexity involved in transferring large volumes of data between systems, leading to overly optimistic expectations regarding the duration and seamless execution of the migration. 
Unrealistic timelines can result in rushed decision-making, and overlooking crucial steps such as data validation, testing, and troubleshooting. Down the line, this may cause data corruption or data loss, or more downtime, creating frustration among end users.
“We have witnessed first-hand the repercussions of setting unrealistic expectations reverberate across projects, manifesting in budget overruns, compromised quality, and employee burnout. These three consequences are deeply intertwined: a hurried attempt to adhere to budget constraints often leads to compromises in quality, while the strain of unrealistic deadlines diminishes team morale. Embracing a realistic outlook on project complexity and timelines will not only ensure the delivery of a high-quality product but also motivate and engage a workforce, yielding long-term benefits for the company.”  &#8211; Tom Pindar, Business Intelligence Lead 
To overcome this challenge, it is crucial to establish transparent communication channels, educate stakeholders about the intricacies of data migration, and conduct thorough assessments to accurately estimate the time and resources required for a successful and smooth transition.
With Datatonic’s Turbo Data Migration Framework and years of experience, we have developed a repeatable approach. This includes a comprehensive planning phase and templates that make it easy to understand the timeframe and budget requirements for a successful migration. 
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<h3>3. Not having a clear understanding of business value</h3>
Without a well-defined understanding of specific business objectives and the value that data migration is expected to bring, businesses risk investing resources into a process that may not align with strategic goals. 
This lack of clarity can result in misguided priorities, leading to the migration of irrelevant or obsolete data, and may overlook opportunities for strategic data projects or transformations that could enhance business insights, such as advanced analytics with <a href="https://datatonic.com/partners/looker/" target="_blank" rel="noopener">Looker</a>, or advanced AI + ML. 
Key stakeholders must be engaged early in the process to conduct a comprehensive analysis of business requirements and establish clear metrics for success, to ensure that the data migration aligns closely with the overall business objectives and delivers tangible value to the organization.
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<h3>4. Minimizing security risks</h3>
Addressing security concerns is paramount in ensuring a seamless migration without compromising sensitive information. To mitigate these challenges, businesses must implement robust security measures, including encryption protocols, an <a href="https://datatonic.com/insights/secure-efficient-access-control-plan-bigquery/">access control plan</a>, and comprehensive auditing mechanisms. 
Additionally, thorough planning and risk assessments should be conducted before starting any data migration project, identifying potential areas of vulnerability and devising strategies to address them. By prioritizing security in the data migration process, organizations can safeguard valuable information and maintain the trust of stakeholders and end users of the platform. 
“A single breach of security can have far-reaching consequences, impacting not only the organization directly but also its partners and customers. Datatonic has vast experience in implementing Google Cloud&#8217;s wide range of security tools, including but not limited to encryption, identity and access management, threat detection, and compliance controls. These features are designed to address the most pressing security concerns, while providing scalability and flexibility to adapt to changing needs.”  &#8211; Tom Pindar, Business Intelligence Lead 
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<h3>5. Ensuring high data quality</h3>
Inaccurate, incomplete, or inconsistent data can lead to a multitude of problems, impacting decision-making, customer experience, and overall business efficiency. These issues are key drivers for migration in the first place. 
During migration, data may encounter compatibility issues between old and new systems, resulting in data quality degradation. As well as this, duplicate records, missing information, or formatting discrepancies can arise, requiring meticulous attention to detail and comprehensive data-cleansing strategies.
Organizations must invest time and resources in profiling, cleaning, and validating data to ensure that the migrated information meets the highest standards of accuracy and reliability. By addressing data quality issues head-on, businesses can optimize the benefits of migration, enhance operational performance, and make informed decisions based on new trustworthy data. This can then be enhanced with analytics and visualization, using tools such as <a href="https://datatonic.com/partners/looker/" target="_blank" rel="noopener">Looker</a>. One example of this is ASOS, which uses BigQuery and Looker as its <a href="https://datatonic.com/case-studies/marketing-analytics-asos/" target="_blank" rel="noopener">marketing analytics platform</a>.
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<h3>Conclusion</h3>
Migrating to Google Cloud can unlock rapid value for your business, providing better access to crucial data to inform decision-making. It also helps to prepare businesses for advanced analytics and AI to further increase efficiency and enhance customer experiences, opening the door for Generative AI. By understanding the challenges of data migration, companies can plan ahead to prevent any issues.
Datatonic’s Turbo Data Migration ensures a seamless migration to Google Cloud, taking necessary planning measures to minimize risk, and quickly addressing challenges as they arise. Read about our Enterprise Data Warehouse experience, with <a href="https://datatonic.com/case-studies/old-data-new-tricks/" target="_blank" rel="noopener">Pets at Home</a>. 
Datatonic, 5x Google Cloud Partner of the Year, is the leading cloud data + AI consultancy for the world’s largest businesses, delivering tangible innovation at the leading edge of Google Cloud. Learn about our experience with <a href="https://datatonic.com/partners/google-cloud/" target="_blank" rel="noopener">Google Cloud</a>, and <a href="https://datatonic.com/contact/" target="_blank" rel="noopener">contact us</a> to find out more.

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Cloud Data Migration

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Looker

Retail

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