Cisco snaps up machine learning outfit Perspica


Cisco has revealed plans to acquire San Jose startup Perspica to bolster the firm's previous purchase of AppDynamics in the data analytics arena. On Thursday, Cisco said in a blog post that Perspica is "the first acquisition to support and accelerate the AppDynamics vision." Financial details were not disclosed. The network equipment maker snapped up AppDynamics in January this year in a deal valued at $3.7 billion. AppDynamics is the developer of an enterprise platform suitable for monitoring application performance and business metrics.

Machine learning and AI training paves new cloud career paths


As cloud services for machine learning and artificial intelligence continue to emerge, organizations need to train... You forgot to provide an Email Address. This email address doesn't appear to be valid. This email address is already registered. You have exceeded the maximum character limit.

Cisco Announces Intent to Acquire Perspica


Earlier this year, Cisco announced the acquisition of AppDynamics – uniquely positioning Cisco to enable enterprises to accelerate their digital transformations by actively monitoring, analyzing and optimizing complex application environments at scale. Today, we are excited to announce the intent to acquire Perspica, the first acquisition to support and accelerate the AppDynamics vision. In our experience working with the world's largest companies, we know that machine learning is only as good as the data it ingests; only as relevant as the data's timeliness; and only as valuable as the data's business context. Cisco's AppDynamics data sets span wherever the application components are deployed, and there is a massive opportunity to correlate this with user experience and business context. With the addition of Perspica to our AppDynamics capabilities, customers will be able to further take advantage of machine learning capabilities to analyze large amounts of application-related data, in real time and with business context, including when an application is deployed in a company's public, private and multiple cloud environments.

Exploring TensorFlow samples in Google Cloud Datalab Google Cloud Big Data and Machine Learning Blog Google Cloud Platform


Posted by Bradley Jiang, Software Engineer. Many people think designing deep learning models and training neural networks is complex and time-consuming, taking days or even weeks of work. But it doesn't have to be. There are a number of tools you can use right now to help you quickly develop and iterate on machine learning models. One such tool is Cloud Datalab.

DNC Tech Chief Raffi Krikorian Talks Bridging The Silicon Valley, Politics Gap

International Business Times

The Democratic National Committee's chief technology officer, Raffi Krikorian, says that changes within the post-2016 political party are as much about the culture as they are about security. The MIT grad's time is physically split between his Silicon Valley home and Washington D.C., although he's looking to bridge the cultural gap between tech and politics. Krikorian previously led Uber's Advanced Technologies Center, where he was tasked with putting the ride-sharing company's self-driving cars on the streets of Pittsburgh, Pa. And preceding that, Krikorian was Twitter's vice president of engineering after successfully managing the social media giant's application programming interface. Following last year's hacks, leaks and ongoing discussion about Russian interference, his priority was to move security and communication to a trusted cloud service assisted by Microsoft.

6 AI ingredients every wireless networking strategy needs


Artificial intelligence is all the rage these days. There's broad consensus that AI is the next game-changing technology, poised to impact virtually every aspect of our lives in the coming years, from transportation to medical care to financial services. Gartner predicts that by 2020, AI will be pervasive in almost every new software product and service and the technology will be a top five investment priority for more than 30 percent of CIOs. An area where AI is already showing enormous value is wireless networking. The use of machine learning can transform WLANs into neural networks that simplify operations, expedite troubleshooting and provide unprecedented visibility into the user experience.

SAS continues to innovate, delivering AI capabilities on its modern, in-memory platform


Analytics leader SAS is helping customers gain more value from data with SAS Viya products, extending the value from the SAS Platform. These newest advances, such as embedded artificial intelligence (AI) capabilities, will further address the needs of organisations that are making analytics core to their business. A variety of industries, countries and organisation sizes have embraced SAS Viya products. With SAS, data scientists, analysts, developers, IT, domain experts and executives can all generate data-driven insights – from the same, consistent data, fostering greater collaboration and driving innovations faster. SAS continues to deliver new capabilities, such as image recognition, deep learning and natural language understanding into the SAS Platform.

Adobe revamps Lightroom in major Creative Cloud update


Adobe unveiled a bevy of Creative Cloud updates Wednesday that infuse more artificial intelligence capabilities across its entire system of applications with Adobe Sensei. The updates, announced at the Adobe MAX conference in Las Vegas, include a totally redesigned version of Lightroom CC that lets users edit photos in near real time across multiple devices. The cloud-based service automatically syncs up changes across mobile, desktop and the web, and includes a more intuitive user interface, as well as improved search and social capabilities, Adobe said. The old version of Lightroom is now called Lightroom Classic CC. Adobe also released a few new applications including Adobe XD for experience design, Adobe Dimension for 2D to 3D compositing, and Character Animator for 2D animation.

Data Revenue: Machine Learning Developer


We are Data Revenue (, We are a 3 machine learning engineers and few freelancers, working out of Berlin and Krakow. Over the last 2 1/2 years we worked on some great projects in Web, Finance, Energy and Medical. Doing purchase/demand prediction, churn prediction, credit scoring and fraud detection. We actively choose clients with interesting problems and datasets.



Hiding racy photos on your phone can be a tedious, manual affair. Depending on the app, you need to first select all the pics you want to move, move them and then delete them from your original cameral roll. That's not to mention making sure they didn't go to any automatic cloud backup locations like iCloud or Google Photos. A new app, Nude, aims to make the process a lot easier by scanning your photos for nudes, putting them in a private vault, deleting them from your camera roll and then erasing them from iCloud. All of this analysis is done on your iPhone, too, so no sensitive information hits the cloud.