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Sphera Signs Agreement to Acquire riskmethods, a Leader in Artificial Intelligence Supply Chain Risk Management Software

The SaaS Garage

Founded in 2013, riskmethods ’ software as a service (SaaS) solution harnesses cutting-edge artificial intelligence (AI), big data and machine learning to protect its customers’ supply chain networks. We are excited to join the Sphera family of leading ESG software, data and consulting solutions.”

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What the Online Advertising World Can Teach Us about the Evolution of Machine Learning in SaaS

Tom Tunguz

With machine learning, we may see another evolution of this. Machine learning startups create models based on data provided by customers. Unlike the first wave of SaaS software, machine learning startups benefit from the data their customers share with them. Which is the right viewpoint?

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Ethics in Machine Learning - An Opportunity for Startups to Lead

Tom Tunguz

Shaped like a hearing aid, the Anti AI AI chills the listener behind the ear using a Peltier device when the onboard TensorFlow model detects computer-generated speech. It’s one of undoubtedly many technologies which will use one machine learning model to detect another machine learning model.

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Sphera Signs Agreement to Acquire riskmethods, a Leader in Artificial Intelligence Supply Chain Risk Management Software

The SaaS Garage

Founded in 2013, riskmethods ’ software as a service (SaaS) solution harnesses cutting-edge artificial intelligence (AI), big data and machine learning to protect its customers’ supply chain networks. We are excited to join the Sphera family of leading ESG software, data and consulting solutions.”

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The Business Value of MLOps

As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models.

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Data Product Teams : Best Practices for a Modern Data Team

Tom Tunguz

DPRDs, or Data Product Requirements Documents, contain the key information about a data product: what it will provide, how it will produce value, how the data will be governed including data quality alerting. Unlike code, data is stochastic or unpredictable. Data may change in size, shape, distribution, or format.

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The Convergence of Data & Software Engineering in the Age of AI

Tom Tunguz

Machine learning’s demand for data has accelerated this movement because AI needs data to function. Security systems govern access to databases akin to secrets management & identity access management solutions do in the cloud.

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Build Trustworthy AI With MLOps

In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale. AI operations, including compliance, security, and governance. AI ethics, including privacy, bias and fairness, and explainability.

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10 Keys to AI Success in 2021

The importance of governance in ensuring consistency in the modeling process. How MLOps streamlines machine learning from data to value. AI storytelling in communicating value to your organization. Trusted AI and how vital it is to your AI projects.

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Resilient Machine Learning with MLOps

To prevent deployment delays and deliver resilient, accountable, and trusted AI systems, many organizations invest in MLOps to monitor and manage models while ensuring appropriate governance. Download today to find out more!