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Workshop: How Do Your Security Decisions Impact Your Enterprise Sales Deal?

Online

Join Volta + Software Secured on Wednesday, June 8, 2022 at 12:00pm ADT for How Do Your Security Decisions Impact Your Enterprise Sales Deal About this event When: Wednesday, June 8, 2022, 2022 from 12:00pm - 1:00pm AST Where: Virtual via Zoom ( log in details will be included in your Eventbrite confirmation email) Description: Enterprise customers are demanding more security requirements from their vendors than ever before. When digital demand skyrocketed with the onset of the pandemic, the risk of serious cyberattacks soared as hackers infiltrated more large-sized company networks through targeting clients or partners. As you can imagine, your security decisions now have huge implications on the likelihood of closing enterprise deals. Join us for a discussion on what enterprises look for when vetting possible tech vendors and the best practices to start implementing so that you stand out against your competition. We’ll also introduce you to vendor security questionnaires: the tool that most enterprises use to weed out their most secure tech vendors from the most risky.

Halifax Data Science Meetup – June 2022

VOLTA 1800 Argyle Street #Unit 801, Halifax

Details Hi everyone, Long time no see!, we are excited to announce that we are back at organizing Data Science presentations for the benefit of the whole professional, academic and enthusiastic community! We have two interesting speakers lined up for this coming June! We'll meet up at 6:00 pm on Wednesday June 8th, and kick off talks shortly after. Pizza and refreshments will be provided *** Space is limited so be sure to RSVP. Also please cancel your RSVP in case you find you are not coming, regardless of how close to the meetup date you find out! *** 1.- Generating Refuted Claims and the Importance of Critical Statements in NLP Pipelines Speaker: Domenic Rosati, Senior Research Scientist, scite.ai Bio: Domenic’s research focuses on natural language understanding and reasoning in scientific texts and how to improve scientific discovery and evaluation with AI. Abstract: With the advent of Large Language Models (LLMs) like GPT3 that perform at almost human levels without any fine tuning on many NLP (Natural Language Processing) benchmarks, a new line of research has emerged trying to assess the safety of these models by assessing the factuality and faithfulness of their outputs Unfortunately, LLMs have been shown to […]