‘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

Advances in AI and Machine Learning
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.

It is imperative for data professionals to rely on AI/ML predictive analytics and insights to help manage and govern their data faster and more efficiently.


MEDIA 7: Hi, Peggy, thank you for your time! We are very excited to have you here! Let us begin with you telling us a little bit about BigID. What are the core values that drive the company to be a leader in data intelligence landscape?
PEGGY TSAI:
Thank you for this opportunity! I’m happy to be here as well. BigID’s data intelligence platform enables organizations to know their enterprise data and take action for privacy, protection, and perspective.  Customers deploy BigID to proactively discover, manage, protect, and get more value from their regulated, sensitive, and personal data across their data landscape. BigID’s core values for employees help the company to be a leader in the data intelligence space - and these values are Care, Do, Try, Shine. We work hard to innovate and build differentiating offerings in the marketplace for privacy, security and data governance. As BigID’s Chief Data Officer, I am pleased to be a part of the data strategy and innovation in the data governance pillar.


M7: Recently, ServiceNow made a strategic investment in BigID to extend automation and innovation across data. Could you tell our readers about some of the developments that all of you at BigID are excited about?
PT:
Yes, we are very excited about the recent strategic investment from ServiceNow. Along with our other strategic investors such as Salesforce, SAP, HPE, Splunk and Comcast, BigID helps companies and organizations build comprehensive data privacy, security, and governance strategies that allow them to better manage risk and meet increasingly stringent legal compliance standards globally. BigID’s discovery platform builds a unified and consistent layer for the enterprise to apply metadata, tagging and context that can be leveraged for many business use cases. Our integrated applications work with our partners to support data insights and enrichment without leaving the platform.

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Data and analytics are very versatile skillsets that can be combined with other skillsets to create a unique career profession


M7: Lately, many companies have faced difficulty in keeping pace with GDPR compliance. What are the toughest challenges to international privacy compliance, in your opinion?
PT:
There are many challenges that I observe. First, companies have too many complex data sources and data types that contain personal information. It makes it difficult to identify where they keep PI/PII data and they lack the proper technology to tie the sensitive data to a person or entity. Secondly, companies have disjointed processes to catalog and report on GDPR compliance. This leads to a break in the information that they need to find and subsequently create a Data Subject Access Request (DSAR). They also cannot complete an end-to-end Privacy Impact Analysis because they do not have the trusted information in a single system. Lastly, this definition and scope of private and sensitive data varies across different protection and privacy regulations. Companies must take a flexible multi-prong approach to accurately and comprehensively discover and tag personal data for the variety of regulations that they must comply with. It is not a simple “tag once and it's done” approach given the complexity of data and the different regulations


M7: You have had an exemplary professional journey of over 18 years. Seeing the rapid change in technology and digitalization what future do you predict for the Data intelligence landscape?
PT:
Over the course of my professional career, the scope and complexity of the data management role has changed tremendously. It is no longer a simple data management job. Nowadays, there are additional responsibilities around analytics, data engineering, data literacy and AI/ML. The role must also work closely with the Chief Privacy Officer and Chief Security Officer to comply and secure the company’s most critical data. I do not expect this to decrease in the future, rather grow more in intensity and speed. Therefore, it is imperative for data professionals to rely on AI/ML predictive analytics and insights to help manage and govern their data faster and more efficiently. They need to take a proactive approach to data quality issues and remediation. From a talent pipeline perspective, I also predict that data professionals become increasingly broader in their knowledge and skillset in order to become successful in their role.

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Companies must take a flexible multi-prong approach to accurately and comprehensively discover and tag personal data for the variety of regulations that they must comply with


M7: Corinium Global Intelligence recently named you in their 2022 Global Top 100 Innovators in Data & Analytics Report. What do you believe is your driving force behind your proven track records and achievements?
PT:
I am very fortunate to have received this nomination and to be able to share my insights with the Corinium Global Intelligence audience. I had the absolute pleasure and unique opportunity in the last two years to explore, research, discuss and interrogate with my data & analytics peers. My driving force behind my dedication to data has been my fundamental belief that all data & analytics trends start from strong data governance. Advances in AI and Machine Learning are not scalable without proper data governance program in place. I believe in tying back the fundamentals with the new innovations.


M7: This is the last question but it is an important one for our readers. What is your advice for young women considering a career in data analytics?
PT:
I highly recommend young women to consider a career in data analytics and data governance. There are many different roles and careers in this field that require diverse thinking so it is important to have a place in this industry. Also, I would say this is a high growth and exciting area that transcends all industries. Data and analytics are very versatile skillsets that can be combined with other skillsets to create a unique career profession. I recommend doing your research in this field and then network with other professionals to learn as much as possible throughout your career!

ABOUT BIGID

BigID’s data intelligence platform enables organizations to know their enterprise data and take action for privacy, protection, and perspective. Customers deploy BigID to proactively discover, manage, protect, and get more value from their regulated, sensitive, and personal data across their data landscape.

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We’re thrilled to welcome Rosette’s deep bench of talent to the Babel Street team.” Michael Southworth, CEO of Babel Street “We’re excited for the opportunity to see Rosette’s technology integrated with the most comprehensive and flexible open-source intelligence platform available,” said Carl Hoffman, CEO of BasisTech. “Rosette’s NLP capabilities are a natural complement to Babel Street’s advanced analytics capabilities and will provide a powerful asset in helping screen for global threats and risk with greater context and understanding.” Customers across industries can expect the integration to offer expanded, locally deployable capabilities and the addition of AI capabilities fueled by the most comprehensive range of enriched, standardized data sources across the digital landscape. This will provide greater intent understanding and trend discovery for governments and commercial enterprises across many industries including healthcare, financial services, manufacturing, and logistics. Following the close of the transaction, Babel Street will continue to market Rosette as a standalone offering and incorporate Rosette’s differentiated technologies into its own solutions. “In addition to threat detection, conversational AI-enabling technologies like NLP have the potential to become the basis for trust between companies and their customers or trading partners,” explained Dan Miller, lead analyst at Opus Research. “Rapid recognition of intent, real-time situational awareness, and machine learning empower Babel Street and Rosette to be the cornerstone for an ever-expanding set of mission-critical use cases.” Specific capabilities that Rosette will bring to Babel Street include: Advanced Natural Language Understanding: including relevancy scoring, document clustering, and Chinese, Japanese, and Korean tokenization delivering greater accuracy and richer insights across global markets. Entity Extraction: including identifying relationships between people, places, and organizations, and entity mapping to rapidly identify and filter open-source searches across the world’s largest enriched document store. Expanded Artificial Intelligence and Machine Learning Modeling: including topic classification and intent detection, as well as risk and fraud scoring, entity attribution, and pattern detection for highly extensible capabilities across a wide range of use cases, including language analytics. About Babel Street Babel Street provides the most advanced data analytics and intelligence platform for the world’s most trusted government and commercial organizations. The AI-enabled platform helps them stay informed and improves around-the-clock decision-making for threat intelligence, identity and risk management, and alerting use cases. Teams are empowered to rapidly detect and collaborate on what matters in seconds by transforming massive amounts of global, multilingual data into actionable insights so they can act with confidence. Babel Street is headquartered in the Washington, D.C. area, with offices in London, Canberra, and Ottawa. For more information, visit babelstreet.com. About BasisTech and Rosette® Data analytics and machine learning are critical to verifying identity, understanding customers, anticipating world events, and uncovering crime. BasisTech provides businesses and governments with advanced analytics and AI-powered solutions for deriving insights from multilingual text, connecting data silos, and discovering digital evidence. The Rosette text analytics platform employs machine learning and deep neural nets to extract meaningful information from unstructured data. Autopsy, a digital forensics platform, and Cyber Triage, an incident response tool, serve the needs of law enforcement, national security, and legal technologists. KonaSearch delivers deep search across Salesforce and other data sources.

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BigID’s data intelligence platform enables organizations to know their enterprise data and take action for privacy, protection, and perspective. Customers deploy BigID to proactively discover, manage, protect, and get more value from their regulated, sensitive, and personal data across their data la...

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