When building a new website, retaining and improving your SEO and organic traffic should be a key design goal. This requires a clear understanding of how SEO and website design work together and careful planning for the site migration. If everything is done correctly, you should retain (and improve) rankings and traffic. Unfortunately, in the real world, this is often not what happens. And then panic sets in.
The tools and practices of IT Operations have to get better and easier. Every IT Ops engineer has the job of responding to alerts when a website is down or unresponsive. To restore service, the engineer follows a certain procedure to restart the web server and validate that the website is operational. Maybe it happens again a few days later and another engineer repeats the procedure to restore service. If it happens yet again, a proactive engineer hopefully takes the initiative to develop a simple script that automates this procedure.
A security flaw in gay dating app Jack'd has left private intimate photos publicly exposed on the internet. Anyone with a web browser who knows where to look can access millions of private photos, even if they do not have a Jack'd account. Researcher Oliver Hough told BBC News he had reported the flaw to Jack'd a year ago but it has still not been fixed. The company has not responded to a request for comment. News site The Register first reported the flaw on 5 February, even though it had not been fixed, in order to warn the app's users.
I recently was a guest on a webinar by Kobiton on making the Jump: Manual to Automation, Automation To Autonomous. Also on the panel was Frank Moyer, CTO Of Kobiton, Praveen Bhasker, Former Sr. Manager Enterprise Automation At Office Depot and Paul Grizzaffi, Principal Automation Architect At Magenic. Here is the transcript below as well. Before we got into too much detail Frank provided some clarification on semantics. With manual testing or to say it another way a human executing a test script. I think it needs to be broken down further. Broadly testing performed by humans can be either checking or exploratory testing. Manually checking and exploratory testing are both manual testing. Exploratory testing is a mindset and requires thinking while manual checking does not. So you know with those semantics exploratory testing in my view is and will always be necessary no matter how far artificial intelligence takes us. There will always be a need to perform some level of exploratory testing.
In this talk you will learn what you need to know in order to build intelligent Cloud solutions with power of AI and Machine Learning. I will show you how to build a web app that can search through text, documents and images, and insights on Azure Search and Cognitive Services that enable to build such solutions.
On the occasion of Data Protection Day on 28 January, the Committee of the Council of Europe's data protection treaty "Convention 108" has published Guidelines on Artificial Intelligence and Data Protection. The guidelines aim to assist policy makers, artificial intelligence (AI) developers, manufacturers and service providers in ensuring that AI applications do not undermine the right to data protection. The Convention's Committee underlines that the protection of human rights, including the right to protection of personal data, should be an essential pre-requisite when developing or adopting AI applications, in particular when they are used in decision-making processes, and be based on the principles of the updated data protection convention, "Convention 108, opened for signature in October 2018. In addition, any innovation in the field of AI should pay close attention to avoiding and mitigating the potential risks of processing of personal data, and allow meaningful control by data subjects over the data processing and its effects. Minister for Foreign Affairs of Finland and Chair of the Committee of Ministers of the Council of Europe Timo Soini welcomed the adoption of the guidelines and said: "Artificial intelligence brings benefits to our daily lives.
With access to mountains of data -- scoured, analyzed, and made actionable thanks to Artificial Intelligence, machine learning, and neural networking -- enterprise organizations are staking their claim on seamless, context-aware customer interactions as a business differentiator. New authentication technologies in personalized digital self-service can help deliver security, fraud prevention, and have a demonstrable impact on an enterprise's bottom line. Indeed "zero-effort authentication" enables intelligent automation, reduced customer effort (no more PINs and passwords), reduced call handling time, and improved confidence in security. Enterprises are building zero-effort authentication strategies for maximum return on investment and increased customer loyalty. In this on-demand webinar, Ravin Sanjith (Intelligent Authentication, Opus Research) and Alexey Khitrov (CEO, ID R&D) will discuss how zero-effort authentication in voice-centric channels leverage AI and the latest advancements in speech processing and multi-modal biometrics.
CEOs recognize the strategic potential of artificial intelligence (AI), but most AI applications today deliver incremental improvements to operations. Many CIOs struggle to translate technology into terms that resonate with business strategy setters. The Gartner AI strategy framework enables CIOs to prepare investment options for the CEO. The framework compares how different industries will employ AI using the framework as a map. In this complimentary webinar, Gartner experts Jorge Lopez and Moutusi Sau compare how AI is applied across several industries and how the industry maps shift as conditions change.