{"id":23531,"date":"2024-09-24T16:11:01","date_gmt":"2024-09-24T15:11:01","guid":{"rendered":"https:\/\/www.dataiq.global\/?post_type=award-winner&#038;p=23531"},"modified":"2024-09-27T14:30:58","modified_gmt":"2024-09-27T13:30:58","slug":"2024-dataiq-awards-grand-prix","status":"publish","type":"award-winner","link":"https:\/\/www.dataiq.global\/devstage\/award-winner\/2024-dataiq-awards-grand-prix\/","title":{"rendered":"2024 DataIQ Awards &#8211; Grand Prix: EDF"},"content":{"rendered":"<p><i><span data-contrast=\"auto\">The Grand Prix is presented to the submission that scored highest across all the judges, which this year has been won by EDF for its submission to the Transformation with Data and AI category.\u00a0<\/span><\/i><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">Being early adopters of Snowpark last year with Snowflake, EDF UK played a huge role in pushing pioneering change in the ML and AI domain with the use case receiving media coverage and promotion on the main stages of AWS Summit, Big Data LDN, and even featuring on the Snowflake Summit Las Vegas Keynote. Now, EDF is taking on all ML and AI challenges of the organisation with platform-as-a product, reusable, and shared capabilities.<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"none\">Data driving transformation<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">EDF UK had ambitions for years to use data, analytics and AI to become a customer-centric organisation and help Britain achieve Net Zero. However, a legacy technology stack that was restricted the team.\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">Last year, the vision of ICE (Intelligent Customer Engine) was formed with three core principles: simplicity, progress over perfection and bringing the code to the data. The EDF team already had Snowflake storing nearly a PB of data across the organisation. Taking data out of Snowflake and putting it into a siloed MLOps platform led to barriers surrounding accessibility, administration, complexity, and cost.\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">Running the EDF ML and AI product workloads directly over the data with zero movement was logical, which is why EDF chose to be early adopters of Snowpark. The team transitioned all ML and AI workloads to run directly over Snowflake, integrated with AWS technologies such as Sagemaker. This new approach unlocked benefits and recognition such as:\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"none\">Capability productionised within three months.<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"none\">Data Science products release cycles improved four-fold.\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"none\">Data Scientist efficiency improved by 80%.<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"none\">Cost reduction of c.\u00a33 million per year.<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"5\" data-aria-level=\"1\"><span data-contrast=\"none\">Customer lifetime value and financial vulnerability model initial products released, improving everything from marketing campaigns to supporting financially vulnerable customers.<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"6\" data-aria-level=\"1\"><span data-contrast=\"none\">Introducing real-time decision making with AI:\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"o\" data-font=\"Courier New\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:1440,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Courier New&quot;,&quot;469769242&quot;:[9675],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;o&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"2\"><span data-contrast=\"none\">Knowledge assistants utilising retrieval augmented generation technology, capable of delivering a response in less than five seconds.\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"o\" data-font=\"Courier New\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:1440,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Courier New&quot;,&quot;469769242&quot;:[9675],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;o&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"2\" data-aria-level=\"2\"><span data-contrast=\"none\">NLP for contact intelligence analysis, insights, and routing.\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"o\" data-font=\"Courier New\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:1440,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Courier New&quot;,&quot;469769242&quot;:[9675],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;o&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"3\" data-aria-level=\"2\"><span data-contrast=\"none\">Hosting of finetuned LLM\u2019s specifically for understanding EDF business language<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"7\" data-aria-level=\"1\"><span data-contrast=\"none\">Enabling a play development area for data scientists to access AI ready data from a centralised platform.\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">The ICE platform is a unified MLOps environment that integrates AI and ML AWS and Snowflake services. With a sensible list of environments and minimal amounts of infrastructure to be managed, it allowed all development focus from EDF to be on pipelines and models, becoming products.\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">The team built four environments and created a handful of access personas and roles. There are now only a few infrastructure components to manage rather than over 50, which was the case before the transformation. One major benefit of this flexibility means the data team can ramp up GPU and compute power for when it is needed, optimising costs.\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">The initial ICE platform gave EDF UK the ML foundations to serve the use cases of the retail business. However, EDF had an AI team ready to take ICE to the next level with a set of generative AI (genAI) use cases to revolutionise the customer business and enable real-time decision making.<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">A standout innovation for the EDF AI Team is the Ask Agent ENZO \u2013 a genAI RAG pipeline hosted in ICE which puts an on-demand knowledge base into the hands of a contact centre agent:\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<ol>\n<li data-leveltext=\"%1.\" data-font=\"Microsoft New Tai Lue\" data-listid=\"11\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Microsoft New Tai Lue&quot;,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"none\">User asks a question of the knowledge base.<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ol>\n<ol>\n<li data-leveltext=\"%1.\" data-font=\"Microsoft New Tai Lue\" data-listid=\"11\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Microsoft New Tai Lue&quot;,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"none\">Safety checks are done, and API send the request to the indexed content find top four chunks of text most relevant to the words used in the request.<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ol>\n<ol>\n<li data-leveltext=\"%1.\" data-font=\"Microsoft New Tai Lue\" data-listid=\"11\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Microsoft New Tai Lue&quot;,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"none\">Chunks are sent to the embeddings model to be LLM ready.\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ol>\n<ol>\n<li data-leveltext=\"%1.\" data-font=\"Microsoft New Tai Lue\" data-listid=\"11\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Microsoft New Tai Lue&quot;,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"none\">Embeddings are sent to the LLM to generate a reply based off the specific prompt.<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ol>\n<ol>\n<li data-leveltext=\"%1.\" data-font=\"Microsoft New Tai Lue\" data-listid=\"11\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Microsoft New Tai Lue&quot;,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"5\" data-aria-level=\"1\"><span data-contrast=\"none\">Response is sent back to the user via API.<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ol>\n<ol>\n<li data-leveltext=\"%1.\" data-font=\"Microsoft New Tai Lue\" data-listid=\"11\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Microsoft New Tai Lue&quot;,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"6\" data-aria-level=\"1\"><span data-contrast=\"none\">Safety checks are done and a generated response is sent back to the user.<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ol>\n<p><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">Other noteworthy metrics about ICE include:<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"17\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"none\">It has been finetuned using LLM\u2019s (FlanT5 and Mistral) and genAI analysis utilising Bedrock:<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"o\" data-font=\"Courier New\" data-listid=\"17\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:1440,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Courier New&quot;,&quot;469769242&quot;:[9675],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;o&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"2\"><span data-contrast=\"none\">Agent eNZO offering informative knowledge base content to agents to improve CX.\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"o\" data-font=\"Courier New\" data-listid=\"17\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:1440,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Courier New&quot;,&quot;469769242&quot;:[9675],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;o&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"2\" data-aria-level=\"2\"><span data-contrast=\"none\">AI-infused IVR solution reducing transfer rate time by 20%.\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"o\" data-font=\"Courier New\" data-listid=\"17\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:1440,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Courier New&quot;,&quot;469769242&quot;:[9675],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;o&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"3\" data-aria-level=\"2\"><span data-contrast=\"none\">Priority services register model is a major data for good initiative. By handling vulnerable customer contact to route them to the team will correct competency to manage contact and the average handle time improved five-fold.<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"o\" data-font=\"Courier New\" data-listid=\"17\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:1440,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Courier New&quot;,&quot;469769242&quot;:[9675],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;o&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"4\" data-aria-level=\"2\"><span data-contrast=\"none\">Complaint model proactively identifying complaints in less than six hours, serving 3 million customers across 250,000 contacts a day.\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"o\" data-font=\"Courier New\" data-listid=\"17\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:1440,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Courier New&quot;,&quot;469769242&quot;:[9675],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;o&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"5\" data-aria-level=\"2\"><span data-contrast=\"none\">AI self-serve outcomes have improved the CX that the \u2018ease\u2019 measure of our customer journeys has improved from 2.5\/5 to 4\/5.\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"17\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"none\">Rebuilding the MHHS and Volume Forecasting product, which is used to forecast customer energy requirements across 5.5 million customer accounts on the \u00a310 billion energy market EDF UK manages. Building complex ML models on over 1 trillion rows of data including industry, weather, and customer consumption data to manage \u00a3300 million of risk and tens of millions of transactional risk on hedging positions.\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"17\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"none\">Debt analytics leading to over \u00a355 million in payment resolutions and support for financially vulnerable customers.\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"17\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"none\">Data science contributing to a four-fold increase in ML products.\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"17\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"5\" data-aria-level=\"1\"><span data-contrast=\"none\">Integration of marketing tools with CLV, resulting in a 30% increase in net zero product sales and manging 71% of SMART meter bookings.\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"17\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"6\" data-aria-level=\"1\"><span data-contrast=\"none\">EnergyHubApp leveraging consumption data across over 600 billion rows of data annually to aid customers in managing energy usage.\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"17\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"7\" data-aria-level=\"1\"><span data-contrast=\"none\">Billing to settlements process unlocking \u00a375 million in value through reconciliation techniques.\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"17\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"8\" data-aria-level=\"1\"><span data-contrast=\"none\">Adopting true DataOps principles and software engineering infused into data approaches to help 161,000 beat the peak participants and reduce grid demand during peak hours.<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span class=\"TextRun SCXW59545164 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW59545164 BCX8\">EDF are part of the DataIQ membership program<\/span><span class=\"NormalTextRun SCXW59545164 BCX8\">me<\/span> <span class=\"NormalTextRun SCXW59545164 BCX8\">\u2013<\/span><span class=\"NormalTextRun SCXW59545164 BCX8\"> the trusted global collaboration and intelligence platform for data leaders. Find out more here: <\/span><\/span><a class=\"Hyperlink SCXW59545164 BCX8\" href=\"https:\/\/www.dataiq.global\/devstage\/membership\/\" target=\"_blank\" rel=\"noopener\"><span class=\"TextRun Underlined SCXW59545164 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW59545164 BCX8\" data-ccp-charstyle=\"Hyperlink\">https:\/\/www.dataiq.global\/devstage\/membership<\/span><\/span><\/a><span class=\"TextRun SCXW59545164 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW59545164 BCX8\">\u00a0<\/span><\/span><span class=\"TextRun SCXW59545164 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW59545164 BCX8\">\u00a0<\/span><\/span><span class=\"EOP SCXW59545164 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>EDF has been awarded the Grand Prix for 2024 with the submission highest rated by all the judging panel. <\/p>\n","protected":false},"featured_media":23764,"menu_order":0,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","_searchwp_excluded":"","footnotes":""},"tags":[995],"class_list":["post-23531","award-winner","type-award-winner","status-publish","format-standard","has-post-thumbnail","hentry","tag-awards-2024"],"acf":{"introduction":"","winner":"EDF","award_programme":"DataIQ Awards 2024","year":"2024","region":"EMEA","award_category":"Grand Prix","thumbnail":"","additional_image":"","affinoid":""},"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/award-winner\/23531","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/award-winner"}],"about":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/types\/award-winner"}],"version-history":[{"count":2,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/award-winner\/23531\/revisions"}],"predecessor-version":[{"id":23533,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/award-winner\/23531\/revisions\/23533"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media\/23764"}],"wp:attachment":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media?parent=23531"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/tags?post=23531"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}