Topic: artificial intelligence

A role in identity verification

Previous methods of identity verification aren’t as efficient today when there is so much more data in circulation. Augmented intelligence has entered the arena to provide much more accurate solutions for ID verification.  Previous methods just required basic information of where someone lives and the applications would then just check a database. One company called … continue reading

Augmented intelligence will help, not replace, human workers

Augmented intelligence is growing as an approach to artificial intelligence, in a way that helps humans complete tasks faster, rather than being replaced by machines entirely.  In an IBM report called “AI in 2020: From Experimentation to Adoption,” 45% of respondents from large companies said they have adopted AI, while 29% of small and medium-sized … continue reading

Europe takes first steps in shaping its digital future

With the strict requirements and massive scope of the GDPR, it’s no surprise that the European Union (EU) cares highly about its citizens’ data privacy. Today, the EU has taken the next step in securing their digital future with the announcement of new strategies for data and artificial intelligence (AI). According to the European Commission, … continue reading

Amazon aims to democratize deep learning with new library AutoGluon

Amazon has launched a new open-source library that will make it easier for developers to deploy machine learning models. With AutoGluon, Amazon aims to help developers deploy their models using just a few lines of code.  “We developed AutoGluon to truly democratize machine learning, and make the power of deep learning available to all developers,” … continue reading

Continuous Deployment for ML: The new software development life cycle

The new software development life cycle means working out ways to adapt the SDLC for your machine learning workflow and teams. With data scientists currently spending large chunks of their time on infrastructure and process instead of building models, finding ways to enable the SDLC to work effectively with machine learning is critical for not … continue reading

Implications and practical applications for AI and ML in embedded systems

“Civilization advances by extending the number of important operations we can perform without thinking about them.” —Alfred North Whitehead, British mathematician, 1919 Hailed as a truly transformational technology, artificial intelligence (AI) is positioned to disrupt businesses either by enabling new approaches to solving complex problems, or threatening the status quo for whole business sectors or … continue reading

Software predictions for 2020 from around the industry

Thought leaders weigh in on what we can expect from the software development industry in 2020: Adam Scroggin, CEO of CardBoard DevOps will continue to be key as we move toward 2020. Software teams will notice more and more that once a product is released, it is not done. Software products are never done. We … continue reading

Report: Interest in AI continues to skyrocket

The Human-Centered Artificial Intelligence lab at Stanford University has just released their AI Index 2019 Report. According to the lab, this report is one of the most comprehensive AI studies ever performed.  For the report, the researchers took an interdisciplinary approach in order to discover patterns about AI’s impact on every industry, from national economics … continue reading

Cloudera calls for open standards for MLOps

Cloudera is calling for industry-wide participation in setting open standards for machine learning operations (MLOps) and machine learning model governance. Cloudera believes that community participation in developing these standards will ensure that companies can leverage their machine learning investments and pave a path for the future.  RELATED CONTENT: AI ethics: Early but formative days Ethical … continue reading

Azure Cognitive Search brings knowledge mining to the enterprise

Microsoft Azure Search will now be known as Azure Cognitive Search to signify the next wave of artificial intelligence in the enterprise.  According to Microsoft, the first wave of AI was built for narrow apps, or training a single mode for a specific task. “What’s been challenging, however, is that these models individually can’t capture … continue reading

Red Hat Process Automation adds predictive modeling in latest release

In its latest release of Red Hat Process Automation, Red Hat added new applied AI capabilities that will enable predictive modeling. The company also added support for the development of process- and decision-based business applications through micro-frontend architectures.  Red Hat Process Automation is a toolset that enables customers to intelligently automate their business decisions and … continue reading

Google brings TensorFlow to the enterprise

Google is bringing its open-source platform for machine learning to the enterprise. According to the company, enterprises that want to use TensorFlow struggle because of the higher demands and expectations they have for running ML workloads.  TensorFlow Enterprise will feature enterprise-grade support, cloud scale performance and managed services. “Together, these services and products can accelerate … continue reading

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