Tag: AI

27
Aug

An Army of Data – Roche

Leveraging AI digital tools, and more to fight COVID19

If there has been one main learning for Roche during the COVID-19 pandemic, it has been that collaboration is key to creating meaningful change. COVID-19 created a common enemy and an effective response requires community mobilization and the collection of actionable data and insights to support patients, frontline healthcare providers, health institutions, supply chains and governments. Collaboration among sectors and industries is essential to develop and implement the rapid innovation needed to make change.

This is why Roche Canada assembled the Roche Data Science Coalition (RDSC) – a group of like-minded academic and private organizations committed to working with the global research community to collect and share knowledge and healthcare data.

Launched in April 2020, members of the RDSC include Alberta Machine Intelligence Institute (Amii),doc.ai,NVIDIA,RGAXSelf Care Catalysts / HealthStorylinesThinkData Works Inc and Vector Institute. This multi-industry coalition came together to lend expertise and resources to help tackle the challenges of COVID-19 quickly.

In its first eight weeks, the coalition developed over 100 digital solutions including artificial intelligence models, virtual dashboards, market reports and deepened relationships with Canadian and international stakeholders.

Together, the RDSC created a centralized repository, housed by ThinkData Works’ Namara platform, which offers over 200 publicly available population datasets gathered from resources around the globe. This data provides the scientific and research community with a robust foundation for current and future COVID-19 research. The data insights are used by coalition collaborators alongside patients, clinicians, infectious disease specialists, epidemiologists and data scientists in order to accelerate research efforts, evaluate solutions and ensure knowledge is mobilized globally.

Additionally, the coalition has made digital self-assessment tools available that can be used by anyone suspected to have or has been diagnosed with COVID-19. With the support of Self Care Catalysts and their free app, Health Storylines, individuals are empowered by the tools to self-report data through mobile applications. Anonymized datasets from this app are transparently shared with the RDSC centralized repository where they are freely available to researchers and healthcare professionals around the world.

The Coalition also launched a challenge administered by Kaggle, an online community of data scientists and machine learners, asking their community of 4.3 million people to answer questions that focus on capacity management challenges identified at the frontlines as well as research studies for COVID-19. As a result, many across the globe have convened on the platform to collaborate and exchange domain knowledge expertise, data set contribution, creative solutions and more.

To help Canadians understand the impact of the measures that have been taken and how we are doing on a global level, the coalition released the Roche Canada: COVID-19 Global Access Report and Dashboard, providing context-specific information to inform decisions regarding the use of COVID-19 testing strategies, social distancing policies and the current state of incidence both via standard reporting and prediction models.

“Our biggest win is that the coalition creates a prospect of what rapid innovation can look like, and what’s possible,” said Fanny Sie, Strategic Healthcare Partner, Artificial Intelligence and Digital Health, at Roche Canada. “The outcome of the RDSC comes down to how people connect, and we saw through this collaboration that the RDSC is building a framework for the future, not just for COVID-19 but to tackle many potential challenges that may arise.”

The RDSC showed that when you can reach a team outside of your practice and learn what drives their organizational passion, you can work together to create a powerful outcome for everyone.

Even as we shift into recovery and reopening, we know COVID-19 is still a global concern. There are opportunities for accelerated innovation and the Roche Data Science Coalition is dedicated to mobilizing diverse groups of stakeholders to benefit all Canadians.

For more information on this initiative visit the Roche Data Science Coalition online.

15
Jan

Supercluster Scale.AI has chose 14 projects, invested $32 million since receiving funding

Scale AI has publicly invested more than $32 million to date into 14 projects, with the hopes of accelerating the adoption of artificial intelligence (AI) within Canadian companies.

Scale AI was awarded $230 million from the federal government in December 2018 through the government’s Supercluster initiative. It received an additional $23.4 million in July from the Quebec government.

The recently announced projects are being conducted by nine companies and include more than 40 partners.

The various projects supported by Scale AI span a number of sectors including shipping to retail, aeronautics, healthcare, and supply chain, but all focus on adopting AI or machine learning into existing practices. After a call for applications in June, Scale AI has chose to invest in a cross sector of startups, corporations, thought leadership groups.

The Montreal-based Supercluster group announced the first projects to receive funding shortly following its call for applications – alloting a combined $5.1 million to four supply chain-focused projects.

More recently, Scale AI revealed it has invested another $27 million across 10 additional projects. The funding is broken down by $22.6 million from the Government of Canada and $4.2 million from the Government of Quebec.

Scale AI’s investments are made on the basis of companies making their own matching contributions. According to Scale AI, the combined total of capital committed to the 10 projects amounts to $75 million.

The recently announced projects are being conducted by nine companies and include more than 40 partners. The largest sum of capital was handed to Air Canada, which is leading two projects. Air Canada received $12 million from Scale AI, and $31.1 million overall, for a project using machine learning to optimize value chain and revenue management, and another implementing AI in its cargo operations.

Canadian startups that received funding include Rubikloud, which has developed AI software for enterprise retailers; AlayaCare, which recently raised $47.9 million CAD; Quebec City-based virtual, augmented, and mixed reality company OVA; open-source graphing-focused Plotly; and simulation software startup Stream Systems.

Ravel by CF, a startup spun out of commercial real estate giant Cadillac Fairview, which announced its investment from Scale AI in December, is also included in the 10 projects. Ravel received $4.8 million from the Supercluster and $13 million overall.

Other companies that received capital from Scale AI include Coveo, which recently raised $227 million CAD. Coveo is leading a project on cognitive supply chains and received $2.8 million from Scale AI and $10.8 million overall.

More information on the projects, partners, and what they are working on can be found here.

 

AI STARTUP RUBIKLOUD TO BE ACQUIRED BY OTTAWA-BASED KINAXIS FOR $81.4 MILLION CAD

OTTAWA, ON, June 15, 2020 – Kinaxis® Inc. (TSX: KXS), the authority in driving agility for fast, confident decision-making in an unpredictable world, has signed a definitive agreement to acquire Toronto-based Rubikloud, a disruptive, emerging provider of AI solutions that automate supply chain prescriptive analytics and decision-making in the retail and consumer packaged goods (CPG) industries.

Globally-recognized retailers and CPG manufacturers in the health and beauty, household and grocery segments use Rubikloud’s AI-based products today. Their offerings include demand forecasting and automation to manage and optimize trade promotions, pricing and assortment to drive product demand and dramatically improve financial results. Kinaxis will enhance RapidResponse’s demand planning capabilities with the Rubikloud offerings, anticipating initial opportunities in the company’s rapidly-growing CPG customer base and over time for other industries such as life sciences. The acquisition also offers Kinaxis a springboard into the enterprise retail industry.

“Rubikloud has capabilities and value that we can offer our CPG customers today, leads us into the retail industry with some bellwether accounts, and adds a group of approximately 80 people to an already-impressive AI and machine learning (ML) team here at Kinaxis. Over time, this enhanced group will contribute to new and existing AI-powered capabilities across the full Kinaxis RapidResponse® platform and applications,” said John Sicard, President and CEO of Kinaxis. “This acquisition reflects the growing importance of AI and ML to power intelligent automation and augment human decision-making to better deliver on customer promises, remove waste and increase resiliency for effective risk management.”

Rubikloud’s SaaS-based ML offerings empower retail and CPG manufacturers to transform their core operations by improving and automating complex, profit-generating decisions. Rubikloud’s proven AI capabilities and intuitive tools enable users to leverage disparate data sources to improve forecast accuracy, site-level allocations, inventory availability and promotion plans by allowing users to run boundless simulations in real time.

“We founded Rubikloud with the belief that purpose-built AI could be used to solve some of the most complex industry problems and we have spent the last seven years building a fantastic product that receives validation from global customers every day,” said Kerry Liu, CEO, Rubikloud. “We’re excited at the prospect of joining Kinaxis, which helps us bring our innovations to a much broader customer base at a faster pace than on our own. Not only that, being two strong Canadian companies we see great cultural synergy and look forward to working on the complex problems we know RapidResponse and concurrent planning can solve for customers.”

Terms of Agreement
Kinaxis will acquire Rubikloud for US$60 million in an all-cash transaction that is expected to close within 60 days. Based on Rubikloud’s current revenue and expense profile, the company’s fiscal 2020 revenue and Adjusted EBITDA guidance, as reiterated in its May 6, 2020 news release, remains unchanged. The transaction is subject to customary closing conditions.

About Kinaxis Inc. 
Everyday volatility and uncertainty demand quick action. Kinaxis® delivers the agility to make fast, confident decisions across integrated business planning and the digital supply chain. People can plan better, live better and change the world. Trusted by innovative brands, we combine human intelligence with AI and concurrent planning to help companies plan for any future, monitor risks and opportunities and respond at the pace of change. Powered by an extensible, cloud-based platform, Kinaxis delivers industry-proven applications so everyone can know sooner, act faster and remove waste. For more Kinaxis news, follow us on LinkedIn or Twitter.