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AI Advances Drive New Generation of Browser-Based Solutions

Smart Data Collective

It’s seemingly compulsory for most developers to build mobile versions of their applications or risk losing millions of potential users. The best part is that many of these web apps are using AI technology to provide the optimal user experience. Many people tend to forget their app updates, which can pose significant risks.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 6: The Impact of COVID-19 on Supply Chain Management

bridgei2i

It is even more essential now that supply chains are empowered with a high standard of data and analytics sophistication to be able to cost-effectively serve the company’s purpose and combat risks at the same time. You know, Chief Risk Officers, for example, will no longer be confined to the credit industry. Anushruti: Perfect.

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Emerging Trends: 4 IRM Market Insights to Aid COVID-19 Business Recovery

John Wheeler

Integrated risk management (IRM) technology is uniquely suited to address the myriad of risks arising from the current crisis and future COVID-19 recovery. Re-starting business operations will require risk visibility not only across the organization but vertically down through the organization as well. Key Findings.

Marketing 110
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4 IRM Market Trends Will Accelerate in COVID-19 Recovery

John Wheeler

Integrated Risk Management (IRM) technology is uniquely suited to address the myriad of risks arising from the current crisis and future COVID-19 recovery. These efforts demonstrate the rising need for an integrated approach to risk management and highlight the following four IRM market trends.

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Adding Common Sense to Machine Learning with TensorFlow Lattice

The Unofficial Google Data Science Blog

TF Lattice offers semantic regularizers that can be applied to models of varying complexity, from simple Generalized Additive Models, to flexible fully interacting models called lattices, to deep models that mix in arbitrary TF and Keras layers. There is a robust set of tools for working with these kinds of constrained optimization problems.

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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

That’s a risk in case, say, legislators – who don’t understand the nuances of machine learning – attempt to define a single meaning of the word interpret. Given how so much of IT gets driven by concerns about risks and costs, in practice auditability tops the list for many business stakeholders. Ergo, less interpretable.

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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

The need for interaction – complex decision making systems often rely on Human–Autonomy Teaming (HAT), where the outcome is produced by joint efforts of one or more humans and one or more autonomous agents. This dataset classifies customers based on a set of attributes into two credit risk groups – good or bad.

Modeling 139