{"id":20122,"date":"2020-02-28T05:00:00","date_gmt":"2020-02-28T12:00:00","guid":{"rendered":"https:\/\/www.salesforce.com\/?p=20122"},"modified":"2020-09-18T00:35:10","modified_gmt":"2020-09-18T00:35:10","slug":"ai4all-comes-to-salesforce","status":"publish","type":"post","link":"https:\/\/www.salesforce.com\/news\/stories\/ai4all-comes-to-salesforce\/","title":{"rendered":"AI4ALL Comes to Salesforce"},"content":{"rendered":"

Students, creativity and artificial intelligence came together at Salesforce headquarters in San Francisco on Thursday, as local high school students joined Salesforce technology and research insights leaders for a special educational event. At the AI Exposition, students with a deep interest in AI got to learn about analytics and artificial intelligence from a collection of leaders in these fields.<\/p>

Event organizer Yakaira Nunez, Senior Director, UX \/ User Interface, Salesforce, said the goal of the event was to provide underrepresented high school students with an opportunity to learn how to apply design thinking to AI and engage directly with Salesforce\u2019s AI leadership team. \u201cAI can be accessible to youth and at risk populations, as long as there is a path for them to access professional and personal networks. This event was all about helping these teenagers build relationships with leaders in AI to help them build connections and lay out a path for them.\u201d <\/p>

Marco Casalaina, Senior Vice President of Product for Salesforce Einstein, spoke to the students about key components of effective machine learning and AI applications. He noted that such applications focus on some common types of predictions, outputs and ingredients:<\/p>

1. Yes\/no Predictions<\/b><\/p>

2. Numeric Predictions<\/b><\/p>

3. Classifications<\/b><\/p>

4. Recommendations<\/b><\/p>

5. Voice<\/b><\/p>

6. Workflow\/Rules<\/b><\/p>

Casalaina discussed the emerging categories of vision- and voice-driven AI applications. \u201cLet\u2019s say I take a picture of this room,\u201d he said. \u201cI can begin to ask questions about the picture, such as whether or not there are people in the picture and, how many there are, and more. Conclusions can eventually be turned into real recommendations. In voice applications, ASR (automated speech recognition) is a key first step for applications that make recommendations.\u201d<\/p>

\n\tOpen Image Modal<\/span>\"\"<\/a>\n<\/figure>
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