By Pratima Aiyagari
In Part 3 of our Artificial Intelligence series, I’ll share how we at Cisco view Artificial Intelligence and how it is going to impact our business.
The next generation of applications, product categories, and services that we offer will be enabled by AI. Here are a seven practical examples where we are incorporating AI in our products and services:
- Contact Center – the next generation of customer care products will be enabled by AI-enabled Bots to automate repetitive tasks and provide a user interface that is more “natural” to use (conversational UI). The products will most likely have ML capability to learn from the large data sets that we generate from previous interactions with end customers. More from Zack Taylor here.
- Cisco Collaboration – we recently acquired Mindmeld, which will enable Cisco to deliver unique conversational interfaces for Cisco Collaboration products, changing the way users will interact with these applications in the future.
- Security – Cisco Stealthwatch uses NetFlow and AI-powered algorithms to provide visibility into the entire network to uncover anomalies and identify threats.
- Cisco Services – An example use case is within technical services where AI can enable faster search for relevant technical and contextual resources to resolve service requests and reduce MTTR.
- Networking – Cisco recently launched the new network for the new era – The Network. Intuitive. The hardware and software building blocks have been reimagined and bundled together with machine learning to transform data into insights for customers.
- Internet of Things – Machine vision, a subfield of AI, could enable multiple use cases within the IoT category for Cisco – including drones, AgTech, connected cars, to name a few. Prospera’s robust technology leveraging computer vision AI and machine learning is one of the reasons why we invested in the company last month.
- Big Data & Analytics – Cisco contributes to the pnda project which is a scalable, open source big data analytics platform for networks and services. Pnda, which is enabled by artificial intelligence, can be used for anomaly detection for predictive maintenance. Another practical product is Cisco Tetration, which will apply machine learning to analyze the real-time data flow of IP packets and provide actionable insight.
This is by no means the full portfolio of products and projects underway. Cisco has been a keen observer and participant in the AI ecosystem, via its acquisition of Cognitive Security (2013), Mindmeld (2017) and investments in Moogsoft, Exabeam, Gainsight, Prospera and Paxata. AI/ML will be a major disruptor in the tech ecosystem, and to stay relevant we will continue to look for ways to utilize this technology in the products and services we offer to our customers.
Are you building the next AI-powered product or service? Come talk to Cisco Investments.
About the Author: Pratima Aiyagari joined Cisco’s Network Management BU in 2001 as a software engineer. After several career moves, she re-joined Cisco’s Corporate Development in 2011 to focus on investments and acquisitions in Europe primarily in the areas of Artificial Intelligence and Enterprise Collaboration. Notable deals: NDS (acq. 2012), ThinkSmart (acq. 2012), Ubiquisys (acq. 2013), Evrythng (investment, 2014), Adbrain (investment 2016), Notion Capital (Fund investment 2017).
This is Part 3 in our Artificial Intelligence series. Check out Part 1 and Part 2.