If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
VMworld 2019 US and Europe events feature many opportunities to learn about the latest in VMware vSphere server virtualization technology and operations. This page is a quick reference to the VMworld 2019 sessions and other events where customers are able to engage with VMware experts on a range of topics, as well as network with industry peers. Links to the EU sessions will be added to the coming days. You can also still access the presentations, recordings, and session information from last year here – VMworld 2018 Archive. How PowerCLI Makes vSphere Configuration Management Easy Level 300 – [US: CODE2214U] Configuration management is a key DevOps principle. PowerShell and PowerShell DSC are easy ways to make use of config management in your environment. However, there's one area that's been missing that ability: VMware. PowerCLI has introduced the key to close that gap, and it's open-sourced! The Art of Code That Writes Code Level 300 – [US: CODE2216U] REST APIs are everywhere these days. A majority of those are backed by what's known as OpenAPI (swagger) specifications. Using the vast ecosystem of OpenAPI tooling, we can generate documentation, SDKs, and even PowerShell modules.
For many companies, when it comes to implementing AI, the typical approach is to use certain features from existing software platforms (say from Salesforce.com's Einstein). But then there are those companies that are building their own models. Yes, this can move the needle, leading to major benefits. At the same time, there are clear risks and expenses. Let's face it, you need to form a team, prepare the data, develop and test models, and then deploy the system.
Compared with all the attention given to the giant AI-related investments made by tech giants, the investments being made by many enterprise software firms don't get as much attention. But as talks with industry execs often drive home, investments in software features that leverage AI/machine learning have also become a key R&D priority for many publicly-traded enterprise software firms -- even if their spending on such work can't compare with what tech giants are doing. When looking at how enterprise software firms are using "AI" to strengthen their offerings, it's worth remembering that there's a difference between broader investments in machine learning, and investments in deep learning in particular. Machine learning (ML) covers the general use of algorithms that analyze data to make conclusions and predictions, and which get better as more data is analyzed. Deep learning (DL) is a computationally demanding subset of machine learning that involves creating artificial neural networks (ANN) that in some respects function like a human brain.
Software company Adobe Inc. uses an AI-based program to automate about 25 core IT tasks that were previously done by employees. The company spent about nine months developing the program using open-source technology, said Chief Information Officer Cynthia Stoddard. It has been in use for about a year. "We wanted to look at issues that we could automate and get the human element out," Ms. Stoddard said. One thing the new system does: It automatically fixes failures in data-batching.
Enterprise companies comprise a $3.4 trillion market worldwide of which an increasingly larger share is being allocated to artificial intelligence technologies. By our definition, "enterprise" technology companies create tools for workplace roles and functions that a large number of businesses use. For example, Salesforce is the primary enterprise software used by sales professionals in a company. Also known as a type of customer relationship management software, or CRM, it is the system of record for sales professionals to enter in their contacts, progress of leads, and for sales metrics to be tracked. Any company directly selling their products and services would benefit from a CRM.
Artificial intelligence startup Replicant Inc. today said it has raised $7 million in seed funding for its customer relationship-focused voice response technology and appointed a former executive from contact center unicorn Talkdesk Inc. as chief executive. The San Francisco-based company said its automated assistant can carry on complex and detailed conversations with customers with response times that approximate those of a human agent. The product of two years of development, the software integrates with customer relationship management systems from Salesforce.com Inc. and Zendesk Inc. for automatic call summarization and can be customized to take actions according to a company's policies. "We spend time with customer and managers, listen to calls and understand the calls they don't like," said new CEO Gadi Shamia, former chief operating officer of Talkdesk. "Those are calls where we perform best."
Laserfiche a leading global provider of enterprise content management (ECM) software announced that Laserfiche Cloud was named a Strong Performer in The Forrester New Wave: Cloud Content Platforms Multitenant SaaS, Q3 2019. Laserfiche Cloud was one of 13 vendors evaluated on the strength of its strategy and current offering. According to Forrester, "Laserfiche provides a robust workflow, strong app design, and development tools. Laserfiche offers strong transactional content services workflow, forms, capture, and robotic process automation. Its template and design tools give users flexibility; they can tailor apps for specific needs."
Leading sales teams use AI across the entire sales cycle -- from lead to cash -- and the specific use case depends on the role. For example, inside sales reps, account executives, and sales managers are accountable for different processes and metrics. As a result, each will benefit from AI in different ways. To make it easier to understand the value of AI in each use case, let's break them down. Got more leads than time to contact them all?
Bias will continue to be a fundamental concern for businesses hoping to adopt artificial intelligence software, according to senior executives from IBM and Salesforce, two of the leading companies selling such A.I.-enabled tools. Companies have become increasingly wary that hidden biases in the data used to train A.I. systems may result in outcomes that unfairly--and in some cases illegally--discriminate against protected groups, such as women and minorities. For instance, some facial recognition systems have been found to be less accurate at differentiating between dark-skinned faces as opposed to lighter-skinned ones, because the data used to train such systems contained far fewer examples of dark-skinned people. In one of the most notorious examples, a system used by some state judicial systems to help decide whether to grant bail or parole was more likely to rate black prisoners as having a higher risk of re-offending than white prisoners with similar criminal records. "Bias is going to be one of the fundamental issues of A.I. in the future," Richard Socher, the chief scientist at software company Salesforce, said.