Cresta AIは、インテリジェントなコンタクトセンターのソリューションを提供する生成AIプラットフォームです。セルフサービス、ライブコーチング、ポストコールの洞察を提供し、コンタクトセンターチームがお客様との対話を最大限に活用できるよう支援します。
Cresta AIを使用するには、コンタクトセンターチームがプラットフォームを既存のシステムに統合します。AIによる技術は、知識、洞察、コーチングを一元化し、最高のパフォーマンスを実現します。エージェントにリアルタイムなコーチングやガイダンスを提供し、チャットボットを通じて繰り返しのタスクを自動化し、対話データからビジネスの洞察を生成します。チームは、セールスの効率、顧客ケア、ポストコールエージェントの効果を向上させるためにこのプラットフォームを活用することができます。
さらに連絡するには、お問い合わせページ (https://cresta.com/contact-us/) にアクセスしてください。
Cresta AI 会社名: Cresta 。
Cresta AI 会社の住所: 540 Bryant Street, Suite 200 Palo Alto, California 94301。
Cresta AI について詳しくは、会社概要ページ (https://cresta.com/about/) をご覧ください。 。
Cresta AI Youtubeリンク: https://www.youtube.com/@CrestaAI
Cresta AI Linkedinリンク: https://www.linkedin.com/company/cresta-inc
Cresta AI Twitterリンク: https://twitter.com/cresta
ソーシャルリスニング
Embedded AI: The Questions Every CEO is Asking
As AI continues to revolutionize industries, CEOs are discussing how to integrate this new superpower. On the a16z Podcast, we talk with Hex, Sourcegraph, and Cresta - three companies at the forefront of integrating AI into their existing products. From navigating data privacy concerns to optimizing accuracy and managing costs, these companies are navigating the complexities of this new superpower. Topics Covered: 00:00 - Introduction 01:29 - How AI can enhance customer service 07:50 - Using AI to shape data and analytics 08:56 - Solving the challenges on contextual understanding 11:27 - Giving AI the right information and context 13:31 - Tools that help build language Models (LLMs) 16:25 - Constructing prompts 19:08 - How do you differentiate? 21:09 - The value of proprietary datasets 22:22 - Customization as a moat 23:44 - Increasing compilation rates 26:49 - Where is the moat? 29:49 - Privacy challenges 34:01- Cost and pricing of models 39:35 - What does the contact center look like in 2028? Resources: * Find Zayd Enam on Twitter: https://twitter.com/zaydenam * Find Barry McCardel on Twitter https://twitter.com/barrald * Find Beyang Liu on Twitter: https://twitter.com/beyang * Learn more about Cresta: https://cresta.com * Learn more about Hex: https://hex.tech * Learn more about Sourcegraph: https://sourcegraph.com/ Stay Updated: Find a16z on Twitter: https://twitter.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Subscribe on your favorite podcast app: https://a16z.simplecast.com/ Follow our host: https://twitter.com/stephsmithio Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. For more details please see a16z.com/disclosures.
Cresta Platform Overview: Enterprise AI for the Contact Center
Reinvent the contact center, with enterprise-grade generative AI. Pinpoint the true drivers of performance, dramatically cut costs with targeted automation, and empower every employee to work smarter and faster with AI-native co-pilots, quality management, and coaching - all trained on your data. Learn why the world’s leading contact centers trust Cresta’s end-to-end generative AI platform. Enjoyed our video? Subscribe to our channel! Website: https://cresta.com/ Twitter: https://twitter.com/cresta LinkedIn: https://www.linkedin.com/company/cresta-inc/
Cresta Virtual Agent
Take the guesswork out of chatbot #automation for the contact center. Cresta Virtual Agent helps you discover conversation reasons and behaviors, and automate conversations by leveraging Large Language Models (LLMs) – the same generative AI technology behind revolutions like #ChatGPT. This quick demo covers Cresta’s unique approach to building the right chatbots, the right way. Learn more about Cresta Virtual Agent: https://cresta.com/product/virtual-agent/ Enjoyed our video? Subscribe to our channel! Website: https://cresta.com/ Twitter: https://twitter.com/cresta LinkedIn: https://www.linkedin.com/company/cresta-inc/mycompany/ 00:00 Saving costs with AI 00:19 Why do most chatbots leave customers frustrated? 00:39 Cresta’s approach to chatbot automation 00:49 Call driver analysis 01:01 Conversation flow modeling 01:19 Automate with insight
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