Q&A with Paige O'Neill, CMO at Sitecore

MEDIA 7 | May 19, 2019

Paige O'Neill, CMO of Sitecore is an experienced, data-driven B2B marketer with enterprise and mid-market SaaS experience that ranges from Fortune 100 to late stage startups and stages in between. Her career graph uniquely combines extensive product marketing and PR / communications backgrounds resulting in an adeptness at creating brand stories and differentiated positioning. 

In this thought-provoking Q&A with MEDIA 7, Paige shares her journey into the field of marketing and her unrelenting zest for technology.

MEDIA 7: What inspired you to get into Marketing?
PAIGE O'NEILL:
 My journey started when I was a Ph.D. student at New York University, and I thought I was on the road to become a college professor, but one day I had an interview at a high-tech PR firm for a part time job. The enthusiasm for technology at that agency changed the course of my life. I felt enamored with everything I heard about “PR” – even though at the time I didn’t even know what it actually was – so I dropped out of the Ph.D. program and started a career working for IBM’s PR agency. I loved technology communications, but wanted to tackle messaging from a more technical perspective, which led to my interest in product marketing. The transition from technology public relations to a product marketing role wasn’t an easy one. It’s an uncommon trajectory and there wasn’t a precedent at the company I worked for at the time, so I had to build my own path. In the end, I hustled to prove that I could leverage the skills I learned through my communications-focused position and translate them to a more product-focused role. It took persistence to prove that point.

"Success for marketers is defined by the ability to deliver experiences that are aware and adaptive to individual customers’ specific needs, in a way that is seamless to the end-user."



M7: What is your favourite part of working at Sitecore?
PN:
I love working with organizations during times of change, and there’s a lot of that going on at Sitecore. We are in the midst of a complete marketing transformation at Sitecore that starts with our top-level messaging, augmenting those messages more towards the marketing department. We are doing this through a new visual identity and branding, an expansion of our demand generation function (which is scaling to map to new personas and go-to-market areas), and, finally, a complete digital transformation leveraging Sitecore’s technology to build a new version of our website and align our digital channels to the customer journey. It’s truly a thrill to be a part of.


"Consumers’ expectations outpace companies’ abilities; most organizations are still early in their efforts to transform the business for a digital world."



M7: What do you consider the biggest challenges for a CMO these days?
PN:
 Marketers have had to accept a heavy truth: it is up to consumers, not them, to decide when, where, and how to engage with their company. Success for marketers is defined by the ability to deliver experiences that are aware and adaptive to individual customers’ specific needs, in a way that is seamless to the end-user. In many cases, though, consumers’ expectations outpace companies’ abilities; most organizations are still early in their efforts to transform the business for a digital world. Getting there will take an investment in technology, and we’ll see marketers rely more on things like channel-agnostic services, machine learning capabilities, and data management systems. But marketers are also going to have to rethink their people and processes, so they have the right training and organizational design to make sure they can leverage the power of those technology investments.


"Marketers have to rethink their people and processes, so they have the right training and organizational design to make sure they can leverage the power of technology investments."



M7: The past year has seen Sitecore hiring four women in executive leadership roles. Is the gap between the number of men and women at Sitecore shrinking? How do you see it?
PN: 
Our CEO, Mark Frost, has always had a passion for diversity and bringing women into senior roles, and it’s been great to see him implement his proactive approach to inclusive hiring at Sitecore. As a result, diversity representation is definitely on the upswing - although we prefer to think of it as more than just a numbers game. Rather than having a quota for female hires, we focus on setting benchmarks that will ensure an equal representation of potential candidates for any position. We’re also taking a top down/bottom up approach to ensure that leadership is setting the right example, while every department is just as engaged in diversity practices.

M7: Knowing what you know now, what advice would you give your younger self?
PN: 
Speak up! Articulate your professional goals and don’t wait for someone to notice you and hope they will give you an opportunity. There’s no way for those around you to know what you want, if you don’t vocalize it. I think a lot of time women in particular think if they work hard, someone will notice them, they will earn that promotion or be selected for that exciting opportunity, but I know from personal experience that making your career ambitions known, can pay dividends.

ABOUT SITECORE

Sitecore is the global leader in digital experience management software that combines content management, commerce, and customer insights. The Sitecore Experience Cloud™ empowers marketers to deliver personalized content in real time and at scale across every channel—before, during, and after a sale. More than 5,200 brands––including American Express, Carnival Cruise Lines, Dow Chemical, and L’Oréal––have trusted Sitecore to deliver the personalized interactions that delight audiences, build loyalty, and drive revenue. Visit Sitecore to know more.

More C-Suite on deck

‘Advances in AI and Machine Learning are not scalable without proper data governance program in place’ says Peggy Tsai, Chief Data Officer at BigID

Media 7 | March 8, 2022

Peggy Tsai, Chief Data Officer at BigID talks about BigID’s data intelligence platform and its integrated applications. Read on to know more about her thoughts on GDPR compliance, the future data intelligence landscape and more in her latest interview with Media 7.

Read More

‘Data teams are critical in defining and driving business growth metrics’ says Gaurav Rewari, CEO of Mode.

Media 7 | March 4, 2022

Gaurav Rewari, CEO of Mode elaborates on his role as a CEO of Mode Analytics, the most comprehensive platform for collaborative Business Intelligence and Interactive Data Science. Read on to know more about his thoughts on digitization and Mode's brand-new visualization tool, Visual Explorer.

Read More

Listen to your customers, advises Christopher Penn, Co-Founder and Chief Data Scientist at TrustInsights.ai

Media 7 | November 16, 2021

Christopher Penn, Co-Founder and Chief Data Scientist at TrustInsights.ai shared his insights with us on how marketers can make better use of data, attribution models and natural language processing to promote conversions and increase customer engagement. Read on to find out about his three-part strategy for successful marketing campaigns.

Read More

‘Advances in AI and Machine Learning are not scalable without proper data governance program in place’ says Peggy Tsai, Chief Data Officer at BigID

Media 7 | March 8, 2022

Peggy Tsai, Chief Data Officer at BigID talks about BigID’s data intelligence platform and its integrated applications. Read on to know more about her thoughts on GDPR compliance, the future data intelligence landscape and more in her latest interview with Media 7.

Read More

‘Data teams are critical in defining and driving business growth metrics’ says Gaurav Rewari, CEO of Mode.

Media 7 | March 4, 2022

Gaurav Rewari, CEO of Mode elaborates on his role as a CEO of Mode Analytics, the most comprehensive platform for collaborative Business Intelligence and Interactive Data Science. Read on to know more about his thoughts on digitization and Mode's brand-new visualization tool, Visual Explorer.

Read More

Listen to your customers, advises Christopher Penn, Co-Founder and Chief Data Scientist at TrustInsights.ai

Media 7 | November 16, 2021

Christopher Penn, Co-Founder and Chief Data Scientist at TrustInsights.ai shared his insights with us on how marketers can make better use of data, attribution models and natural language processing to promote conversions and increase customer engagement. Read on to find out about his three-part strategy for successful marketing campaigns.

Read More

Related News

BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE

Pico Announces Major VoIP Analytics Product Upgrade

Pico | January 27, 2023

Pico is one of the global leaders in providing mission-critical technology services, software, data and analytics to the financial markets. While its Corvil Analytics is best known for ensuring the performance of low-latency electronic trading systems, Corvil VoIP Analytics is used to oversee the operations and performance of some of the world's biggest and most complex VoIP installations. To make sure that VoIP is reliable and of good quality, the Corvil method of evaluating network and application activity at the same time is essential. Chief Product Officer at Pico, Stacie Swanstrom, said, “With 20 years of experience in deriving operational intelligence from demanding and dynamic networks, Corvil Analytics has established a critical role in high-performance trading environments.” She added, “Corvil VoIP Analytics takes the ability to capture and decode lossless granularly timestamped data at 100GB and applies it to VoIP applications, providing the same rich data clients have come to expect in both on-prem and cloud deployments.” (Source – GlobeNewswire) One significant advantage of Corvil's wire data technique is that it offers a vendor-agnostic method of managing VoIP quality. Large enterprises often rely on several suppliers, and depending on vendor-bundled diagnostic tools provides only a partial and fragmented picture. In addition, 60% of current Corvil VoIP consumers have switched suppliers in the last three years. Corvil was important to the success of those initiatives, and it also provided a complete picture before, during, and after the migration. The Corvil solution's value is centered on quick and easy access to rich analytics: A unified interface for summary VoIP performance dashboards highlighting overall KPIs and failure rates When troubleshooting difficulties with providers and suppliers, complete packet capture for each call gives a clear record Drill-down into individual calls with a single click and quick access to both signaling messages and the voice call packet stream Splunk, Orion, Nagios, and other third-party operations management systems benefit from extensive open APIs and live streaming of key metrics About Pico Pico is one of the leaders in providing technological services to the financial market sector. Its technology and services are used for mission-critical power systems for worldwide banks, exchanges, electronic trading businesses, quantitative hedge funds, and financial technology service providers. The firm offers a best-in-class array of market solutions that are creative, transparent, and low-latency, as well as an agile and expert service delivery methodology. PicoNet™, a globally comprehensive network infrastructure instrumented natively with Corvil to provide analytics and telemetry, offers instant access to financial markets. Pico is chosen by clients that desire the ability to react quickly and gain an operational advantage in the fast-paced world of financial markets.

Read More

BIG DATA MANAGEMENT, BUSINESS STRATEGY, DATA SCIENCE

Tredence Unveils ATOM.AI at NRF 2023 for Retailers and CPGs

Tredence Inc. | January 17, 2023

On 16 January 2023, Tredence, a global data science and AI solutions provider, announced the launch of an intelligently engineered platform, ATOM.AI. The platform is an end-to-end AI accelerator that accelerates data and analytics modernization. The announcement to launch ATOM.AI was made at the National Retail Federation (NRF), the leading retail industry show, for retailers and consumer goods companies. ATOM.AI assists industries in data transformation into winning results by reducing the time to value by fifty percent. This is possible with the platform's advanced AI/ML capabilities, pre-built feature stores, technical notebooks, deep data sets, and integrations with third parties. At NRF, Tredence will launch ATOM.AI, which powers the deployment and development of retail and CPG-centric AI applications 50% faster. The solution is built on the Databricks Lakehouse Platform. ATOM.AI is a data and AI platform powered by leading hyperscales which consists of five modules designed to drive efficiency AI solution development and deployment phase Data Works- to harmonize external and internal data and build a comprehensive feature store Algo Works - to accelerate ML model development and enhance algorithm performance UI/UX Works - to speed up application design with pre-built UI/UX templates Solution Works - pre-built AI/ML solutions for large industries Automation Works - integrates, orchestrates, deploys, and scales AI Soumendra Mohanty, Chief Strategy Officer, Tredence, said, "Enterprises across all industries are examining ways to embed AI into their core business processes. However, only 53 percent of AI projects make it from prototype to production. In contrast to the previous technology transformations, AI is vastly different." He added, "We are dealing with a nonlinear condition here. ATOM.AI equips companies to put AI at the center of their transformation strategy while also delivering on our last-mile AI mission. With ATOM.AI, Tredence places a heavy emphasis on ROI." (Source: PR NewsWire) About Tredence Tredence is a worldwide provider of data science solutions aiming to address AI's last-mile challenge. The gap between value realization and insight creation defines the last mile. Tredence has been acknowledged as a leader and a great place to work-certified in the Forrester WaveTM: Customer Analytics Services. The company is based in San Jose (California) and has offices in Foster City, Chicago, London, Toronto, and Bangalore.

Read More

BIG DATA MANAGEMENT, BUSINESS STRATEGY, DATA SCIENCE

Arize Introduces Data Lake Connectors

Arize AI | January 24, 2023

On January 23, 2023, Arize AI, an industry leader in machine learning observability, introduced a connection solution for BigQuery, Redshift, Delta Lake, and Snowflake data lakes. As a result, Arize customers with centrally managed inference stores can rapidly connect their ML table data to Arize via Data Lake Connectors for strong model observability. Arize is the market leader in terms of both volumes of models and predictions tracked, surpassing billions of predictions daily. So far, ML observability platforms have struggled to simplify their deployments while simultaneously managing billions of predictions and complicated monitoring services, such as embedding drift. The latest Arize version for data connectors expands clients' connectivity options with the widely used data lakes. The launch comes as the machine learning community converges on various MLOps designs. A modern machine learning architecture approach involves storing inference data in a data lake. ML teams are designing these ML data lakes to power feature stores for feature serving and an inference store for analysis. Arize Data Lake Connectors are intended for smooth integration with today's data lake architectures. Among the benefits of connecting directly to the ML data store are the following: Financial savings can be substantial as compared to alternative techniques of ML monitoring. Teams can run off of an SSOT Integration and onboarding are accelerated and simplified Arize now connects with cloud storage providers (such as Google Cloud Platform, Microsoft Azure, and Amazon Web Services), Python pipelines through an SDK, and Kafka Streaming. With this release, users of data lakes may get real-time model insights more efficiently than ever before. In addition, the platform provides fully managed built-in connectors as part of its cloud and VPC platform, eliminating the need for users to build and maintain complex data pipelines or use a separate ETL tool and providing real-time model performance analysis and monitoring. About Arize AI Arize AI offers an ML observability platform that monitors models and provides insights for troubleshooting production AI. The firm was established in 2020 in Berkeley, California. It allows corporate clients to monitor the performance of AI models using software that searches for unanticipated biases in algorithms, does root-cause analysis when issues arise, and enhances overall model performance. Arize operates in the background, analyzing internal and external data to forecast demand and eliminate supply chain network errors and sales losses. Adobe, Chick-fil-A, and eBay are among the fifty clients of Arize AI.

Read More

BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE

Pico Announces Major VoIP Analytics Product Upgrade

Pico | January 27, 2023

Pico is one of the global leaders in providing mission-critical technology services, software, data and analytics to the financial markets. While its Corvil Analytics is best known for ensuring the performance of low-latency electronic trading systems, Corvil VoIP Analytics is used to oversee the operations and performance of some of the world's biggest and most complex VoIP installations. To make sure that VoIP is reliable and of good quality, the Corvil method of evaluating network and application activity at the same time is essential. Chief Product Officer at Pico, Stacie Swanstrom, said, “With 20 years of experience in deriving operational intelligence from demanding and dynamic networks, Corvil Analytics has established a critical role in high-performance trading environments.” She added, “Corvil VoIP Analytics takes the ability to capture and decode lossless granularly timestamped data at 100GB and applies it to VoIP applications, providing the same rich data clients have come to expect in both on-prem and cloud deployments.” (Source – GlobeNewswire) One significant advantage of Corvil's wire data technique is that it offers a vendor-agnostic method of managing VoIP quality. Large enterprises often rely on several suppliers, and depending on vendor-bundled diagnostic tools provides only a partial and fragmented picture. In addition, 60% of current Corvil VoIP consumers have switched suppliers in the last three years. Corvil was important to the success of those initiatives, and it also provided a complete picture before, during, and after the migration. The Corvil solution's value is centered on quick and easy access to rich analytics: A unified interface for summary VoIP performance dashboards highlighting overall KPIs and failure rates When troubleshooting difficulties with providers and suppliers, complete packet capture for each call gives a clear record Drill-down into individual calls with a single click and quick access to both signaling messages and the voice call packet stream Splunk, Orion, Nagios, and other third-party operations management systems benefit from extensive open APIs and live streaming of key metrics About Pico Pico is one of the leaders in providing technological services to the financial market sector. Its technology and services are used for mission-critical power systems for worldwide banks, exchanges, electronic trading businesses, quantitative hedge funds, and financial technology service providers. The firm offers a best-in-class array of market solutions that are creative, transparent, and low-latency, as well as an agile and expert service delivery methodology. PicoNet™, a globally comprehensive network infrastructure instrumented natively with Corvil to provide analytics and telemetry, offers instant access to financial markets. Pico is chosen by clients that desire the ability to react quickly and gain an operational advantage in the fast-paced world of financial markets.

Read More

BIG DATA MANAGEMENT, BUSINESS STRATEGY, DATA SCIENCE

Tredence Unveils ATOM.AI at NRF 2023 for Retailers and CPGs

Tredence Inc. | January 17, 2023

On 16 January 2023, Tredence, a global data science and AI solutions provider, announced the launch of an intelligently engineered platform, ATOM.AI. The platform is an end-to-end AI accelerator that accelerates data and analytics modernization. The announcement to launch ATOM.AI was made at the National Retail Federation (NRF), the leading retail industry show, for retailers and consumer goods companies. ATOM.AI assists industries in data transformation into winning results by reducing the time to value by fifty percent. This is possible with the platform's advanced AI/ML capabilities, pre-built feature stores, technical notebooks, deep data sets, and integrations with third parties. At NRF, Tredence will launch ATOM.AI, which powers the deployment and development of retail and CPG-centric AI applications 50% faster. The solution is built on the Databricks Lakehouse Platform. ATOM.AI is a data and AI platform powered by leading hyperscales which consists of five modules designed to drive efficiency AI solution development and deployment phase Data Works- to harmonize external and internal data and build a comprehensive feature store Algo Works - to accelerate ML model development and enhance algorithm performance UI/UX Works - to speed up application design with pre-built UI/UX templates Solution Works - pre-built AI/ML solutions for large industries Automation Works - integrates, orchestrates, deploys, and scales AI Soumendra Mohanty, Chief Strategy Officer, Tredence, said, "Enterprises across all industries are examining ways to embed AI into their core business processes. However, only 53 percent of AI projects make it from prototype to production. In contrast to the previous technology transformations, AI is vastly different." He added, "We are dealing with a nonlinear condition here. ATOM.AI equips companies to put AI at the center of their transformation strategy while also delivering on our last-mile AI mission. With ATOM.AI, Tredence places a heavy emphasis on ROI." (Source: PR NewsWire) About Tredence Tredence is a worldwide provider of data science solutions aiming to address AI's last-mile challenge. The gap between value realization and insight creation defines the last mile. Tredence has been acknowledged as a leader and a great place to work-certified in the Forrester WaveTM: Customer Analytics Services. The company is based in San Jose (California) and has offices in Foster City, Chicago, London, Toronto, and Bangalore.

Read More

BIG DATA MANAGEMENT, BUSINESS STRATEGY, DATA SCIENCE

Arize Introduces Data Lake Connectors

Arize AI | January 24, 2023

On January 23, 2023, Arize AI, an industry leader in machine learning observability, introduced a connection solution for BigQuery, Redshift, Delta Lake, and Snowflake data lakes. As a result, Arize customers with centrally managed inference stores can rapidly connect their ML table data to Arize via Data Lake Connectors for strong model observability. Arize is the market leader in terms of both volumes of models and predictions tracked, surpassing billions of predictions daily. So far, ML observability platforms have struggled to simplify their deployments while simultaneously managing billions of predictions and complicated monitoring services, such as embedding drift. The latest Arize version for data connectors expands clients' connectivity options with the widely used data lakes. The launch comes as the machine learning community converges on various MLOps designs. A modern machine learning architecture approach involves storing inference data in a data lake. ML teams are designing these ML data lakes to power feature stores for feature serving and an inference store for analysis. Arize Data Lake Connectors are intended for smooth integration with today's data lake architectures. Among the benefits of connecting directly to the ML data store are the following: Financial savings can be substantial as compared to alternative techniques of ML monitoring. Teams can run off of an SSOT Integration and onboarding are accelerated and simplified Arize now connects with cloud storage providers (such as Google Cloud Platform, Microsoft Azure, and Amazon Web Services), Python pipelines through an SDK, and Kafka Streaming. With this release, users of data lakes may get real-time model insights more efficiently than ever before. In addition, the platform provides fully managed built-in connectors as part of its cloud and VPC platform, eliminating the need for users to build and maintain complex data pipelines or use a separate ETL tool and providing real-time model performance analysis and monitoring. About Arize AI Arize AI offers an ML observability platform that monitors models and provides insights for troubleshooting production AI. The firm was established in 2020 in Berkeley, California. It allows corporate clients to monitor the performance of AI models using software that searches for unanticipated biases in algorithms, does root-cause analysis when issues arise, and enhances overall model performance. Arize operates in the background, analyzing internal and external data to forecast demand and eliminate supply chain network errors and sales losses. Adobe, Chick-fil-A, and eBay are among the fifty clients of Arize AI.

Read More

Spotlight

Sitecore

Sitecore

Sitecore is the global leader in experience management software that combines content management, commerce, and customer insights. The Sitecore Experience Cloud™ empowers marketers to deliver personalized content in real time and at scale across every channel—before, during, and after a sale. More t...

Events

Resources