As the global population continues to grow, meeting the world’s demand for animal protein in a sustainable way is becoming increasingly challenging. Data science offers
Did you know that nearly 1/3 of all food produced is wasted or lost?
This food waste has far-reaching economic, social, and environmental consequences, including increased greenhouse gas emissions and squandered resources such as water, energy, and land. By leveraging data science as a platform, we can make significant strides in reducing food waste and tackling the challenges outlined in this McKinsey report. Data science provides valuable insights into the causes and potential solutions to food waste, enabling us to create a more efficient and sustainable food supply chain.
We’re excited to join the Be Empowered with Ever.Ag webinar series on March 23rd at 1:00 PM CDT/11:00 AM PDT. Our CEO Simon Drake will be a featured speaker, joining Ever.Ag’s CEO Scott Sexton for the webinar “Harvesting Insights with AgTech: How Data Science is Revolutionizing the Supply Chain.” We’ll be talking about using your existing data plus the power of AI-based data science to optimize your end-to-end food supply chain.
In this post we’ll examine the concept of integrated business optimization. It’s not uncommon for a CEO or business unit leader to think they have
Add data science to your cold food and beverage supply chain arsenal.
What can data science help optimize in a commodity deconstruction business like meat or dairy? Data science can forecast the impact of commodity supply variability
Baixe nosso último white paper: Aplicando ciência de dados à cadeia de fornecimento integrada de carne bovina para varejo
Sign up for the next webinar: No Longer Unprecedented: How to be a Thriving Dairy Business in the New Normal
There is a concept that applying data science to your business will automate processes, consolidate information faster, make employees lives easier, and allow them to go home earlier. All of that is true! It does leave an important part out, however. What often doesn’t get mentioned is that data science comprehensively considers so many nuances of your business, all at once, that understanding its optimized scenarios will require significant hours of training, as well as a mindset change within your planning team.
A ciência de dados pode ajudar a preencher as nossas prateleiras vazias?
Página traduzida usando uma combinação de inteligência artificial e esforço humano - encontrou algum erro? Informe-nos!
You cannot copy content of this page
