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The Evolution Of The SaaS Industry

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It is estimated that the global SaaS and IaaS industry will be worth over $130 billion by next year. In the wake of the success of companies such as Salesforce, the industry has now evolved to the point where vendors and suppliers manage their own software and no installation is required (software is distributed via the cloud). This SaaS-based cloud services model offers businesses significant efficiencies and cost savings and relies on cloud delivery at scale. Perhaps the most recent influential factors to impact SaaS businesses, and will likely continue to be, are Artificial Intelligence (AI) and Machine Learning (ML) respectively - they are set to become fundamental constituents of the SaaS landscape. A key area where AI is driving SaaS businesses involves the concept of personalized services.


AI and the future of design - Information Age

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The design industry is yet another area where AI is making huge strides. Just recently, an AI tool pulled from a database of dozens of patterns and colors to create 7 million unique packaging designs for Nutella. Let's take a closer look at how artificial intelligence is shaping the future of design. In addition to generating its own designs–as it did for Nutella–AI is the driving force behind modern web design. Artificial design intelligence (ADI) systems are democratizing website development, generating functional, attractive websites from the bottom up.


Webinar: Why The Human Element Remains Essential in AI

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The relationship between humans and machines is a hot topic of discussion, with news segments often pitting them against each other. Bringing humans and machines together – in true partnership – is the only way to realize the incredible potential of AI and the efficiencies and cost savings it can deliver. On Wednesday, December 11 at 1:00 PM ET, join Kristin Simonini, VP of Product at Applause, to find out how the human element is critical to ensuring AI works correctly. You'll also learn about Applause's survey from the 2019 AI & Big Data Expo that showcases the importance of diverse training data to avoid AI bias.


Amazon Fraud Detector - Amazon Web Services

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Amazon Fraud Detector is a fully managed service that makes it easy to identify potentially fraudulent online activities such as online payment fraud and the creation of fake accounts. Globally each year, tens of billions of dollars are lost to online fraud. Companies conducting business online are especially prone to attacks from bad actors who often exploit different tactics such as creating fake accounts and making payments with stolen credit cards. Companies typically use fraud detection applications to identify fraudsters and stop them before they cause costly business disruptions. However, these applications often rely on business rules that don't keep up with the changing behaviors of fraudsters.


DSC Webinar Series: 20 Predictions for 2020 from AI to Data Management

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AI, machine learning, cloud, self-service, data governance, etc…there is no shortage of buzzwords in data today. Every organization is seeking to outpace their competition by leveraging data to drive differentiation for their business. To win this race, companies are building up data science teams, investing in faster/more scalable cloud data platforms and utilizing the growing variety of publicly available datasets and algorithms. How do you stay ahead of what's next and help drive the successful adoption of new technology and processes within your organization? This latest Data Science Central webinar will be interactive and will review where we think data management, analytics and ML/AI are headed next.


[webinar] How AI and Fraud Data Can Creatively Boost Your Business

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Digital businesses are increasingly turning to big data to help them make faster and better decisions, particularly when it comes to approving good transactions and rejecting fraudulent ones. But fraud data can do more than just stop fraud. It can also reveal hidden, yet critical, insights into your business overall. During this webinar, experts will share how to leverage data and artificial intelligence for fraud prevention and enhancing business strategies.


Webinar Nuclei Segmentation Using Artificial Intelligence

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Imagine an APP for nuclei segmentation that is reliable and can be used by anyone in your lab. Recent advances in deep learning and artificial intelligence have enabled Visiopharm to develop novel tools for nuclei segmentation in brightfield images, providing you with the accuracy, precision and ease-of-use you have been waiting for. Whether you are an image analysis expert or a novice user, you can expect results quickly. This presentation will highlight Visiopharm's new AI Nuclei APP and how it can be combined with other AI and machine learning APPs to generate accurate and meaningful results. Can't make it to this webinar?


The State of AI in Testing: A Panel Discussion TestCraft

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As a Principal Automation Architect at Magenic, Paul Grizzaffi is following his passion for providing technology solutions to testing, QE, and QA organizations, including automation assessments, implementations, and through activities benefiting the broader testing community. An accomplished keynote speaker and writer, Paul has spoken at local and national conferences and meetings. In addition to spending time with his twins, Paul enjoys sharing his experiences and learning from other testing professionals; his mostly cogent thoughts can be read on his blog. Jennifer Bonine is a well-known speaker, teacher, and trainer at both national and international conferences. She has keynoted numerous Testing, Agile, and Development conferences.


Amazon lets doctors record your conversations and put them in your medical files

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Amazon's next big step in health care is with voice transcription technology that's designed to allow doctors to spend more time with patients and less time at the computer. At Amazon Web Services' re:Invent conference on Tuesday, the company is launching a service called Amazon Transcribe Medical, which transcribes doctor-patient interactions and plugs the text straight into the medical record. "Our overarching goal is to free up the doctor, so they have more attention going to where it should be directed," said Matt Wood, vice president of artificial intelligence at AWS. "And that's to the patient." At last year's re:Invent, AWS introduced a related service called Amazon Comprehend Medical, which "allows developers to process unstructured medical text and identify information such as patient diagnosis, treatments, dosages, symptoms and signs, and more," according to a blog post. Wood said the two services are linked and can be used together.