789: Shanthi Iyer shares her remarkable journey in scaling the organization and developing a sound data strategy. Shanthi describes how she and her team have elevated employee experience, focused on the customer experience, and streamlined internal processes through strategic automation. She also discusses how she is crafting a robust data strategy for DocuSign and exploring potential use cases for Generative AI to unlock a realm of future value. Finally, Shanthi provides an update on the state of women in technology, looks ahead at the latest trends in technology, and reflects on the keys to her career success.
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764: Asif discusses the evolution of the company and how it reflects the evolution of artificial intelligence more generally. Asif shares his pathway into AI and data science, the genesis story of Quantiphi, and why he decided not to seek outside capital in the early stages of the company’s growth. We also cover the various phases of the company’s history including finding the company’s product market fit, specialization, verticalization, and finally the latest phase of exploring and leveraging generative AI. Asif shares his perspectives on how companies have successfully harnessed the power of AI, the potential disruptions coming from ChatGPT and other generative AI platforms, and the future ahead for AI in general. Finally, Asif shares the two key pieces of advice that he believes facilitated his career success and will continue to help him in the future.
Now a household name in personal finance, Intuit was founded in 1983 by Scott Cook. The company’s four decades of success — the company reported 2022 annual revenue of $12.7 billion and a portfolio of valued products including TurboTax, QuickBooks, Credit Karma, Mint, and Mailchimp — has been possible in part by the company’s dedication to innovation. Innovation is necessary for modern businesses to maintain a competitive advantage, meet evolving customer needs, and attract top talent. Prioritizing innovation can also improve the IT-business relationship by positioning the IT organization as a partner that is uniquely suited to evaluate ideas and pursue those most likely to succeed.
Two conversations on Peter High’s Technovation podcast with Intuit’s Chief Information Security and Fraud Prevention Officer, Atticus Tysen, and Chief Data Officer, Ashok Srivastava, show how Intuit has reinvented itself through IT-driven experimentation driven by a desire to solve real business problems and foster a strong IT-business partnership in the process. These interviews show how a formalized test-and-learn process, a set of practices formalizing the steps taken to ideate, conduct pilots, analyze results and scale valuable ideas across an enterprise, can be used to systematically scale innovation and deliver a range of benefits. Among them:
–Change the culture of the IT organization to encourage more frequent ideation and support team members in voicing ideas they might not have previously
–Empower the IT organization with data and agility that allows it to show up as a true business partner
-Increase the influence of the IT organization to build trust and credibility with the business
-Eliminate silos and encourage expansive thinking to ensure the creation of durable, enterprise-grade solutions
Intuit’s innovation journey highlights these improvements in action, as we’ll see below. We will also share Metis Strategy’s 10-step test-and-learn process that you can implement in your own organization.
“At Intuit, experimentation is everyone’s job,” said Brad Smith, Intuit’s former Executive Chairman. Building a culture of experimentation and innovation requires creating a safe space to allow risk-taking and encourage more people to bring ideas to the table. Intuit’s IT organization prides itself on its hypothesis-driven testing culture designed to pursue new ideas with clear business outcomes rather than rely on legacy solutions, bolstering the IT organization’s strategic value.
Solidifying a test-and-learn process positions IT organizations to play a more active role with business teams, understand customer needs, unlock innovation opportunities, and change the culture of IT from reactive order-takers who “just” keep the lights on to partners who help shape the future of the enterprise. At Intuit, the test-and-learn process is guided by the company’s two innovation competencies, Customer Driven Innovation and Design for Delight, which drive all solution development and ensure strategic focus throughout the ideation process. These defined principles, outlined and enforced by the Intuit labs, help narrow down and develop winning ideas by ensuring new solutions unlock value and solve real problems.
IT leaders must be change champions to ensure the successful adoption of a test-and-learn process and the subsequent shift in culture required to improve the IT-business partnership. Broad participation in the test-and-learn process happens when the process is accessible and engagement is encouraged across all roles and tenures.
Intuit’s technology leaders incentivize innovation by giving employees unstructured time for ideation and solutioning, which fosters their participation in the test-and-learn process and refines the company’s ideation muscle outside of day-to-day responsibilities. Other incentives used to ensure test-and-learn participation include the Scott Cook Innovation Awards, which recognize employee innovators; mentorship programs to guide new participants through the test-and-learn process; rotational development programs to upskill employees; and workshops to refine critical thinking skills.
By enabling test-and-learn experimentation, IT leaders can begin to change their organizations’ culture and empower the IT organization to become a true business partner. Intuit notes that the test-and-learn culture has enabled a durable competitive advantage that allows the company to differentiate itself from competitors while focusing on what matters most to its customers.
In a recent survey, 63% of CIOs reported that they struggle to communicate IT’s business value to business partners. Formalizing a test-and-learn process can improve that communication by giving IT leaders the data needed to tell their innovation story and tie new ideas to tangible business outcomes.
Test-and-learn experimentation produces data surrounding the feasibility and value of scaling an idea. Ideas that are ultimately chosen to scale are backed by data on their projected success and business impact. IT organizations can also provide their business counterparts with data on risk mitigation and projected costs based on the initial testing.
Tysen names data as the primary enabler for successful test-and-learn experimentation as it creates opportunities to take calculated risks. Tysen and Srivastava work together to break down data silos and democratize data so teams can more effectively derive and deliver insights.
Pairing test-and-learn with agile delivery methods can promote a culture that rewards failing fast, iterating, and delivering value in the shortest sustainable time. Intuit focuses on lessons learned from experiments rather than if one was a success or a failure.
Intuit’s innovation competency, Design for Delight, further showcases agile ways of working by prioritizing constant customer feedback, quick prototypes, and iterative solutions to ensure initiatives pursue maximum customer value.
Since experimentation often happens on top of day-to-day responsibilities, transparent and realistic expectations must be set to prevent under-delivery or delays and preserve working relationships. Tysen manages business expectations by ensuring that the IT organization outperforms traditional IT metrics as a prerequisite for experimentation. Operational excellence builds trust between IT and business partners and creates space for test-and-learn experimentation that builds that trust further via successful ROI-generating innovation initiatives.
The typical IT delivery muscle must be refined, and often rebranded, to position the IT organization as an innovator rather than an expensive bottleneck. Tysen says his organization builds credibility with the rest of the business by leveraging business metrics and KPIs, not just IT metrics, when evaluating ideas generated through the test-and-learn process. Applying business metrics to IT-generated ideas ensures that the IT organization and the business are being held to the same standard and can help ensure fair appraisal and understanding of each initiative’s value.
In a recent survey, fewer than 5% of CIOs reported that they spend time talking about business outcomes or measuring the business outcomes created by the technology they deploy. This is a significant oversight preventing buy-in and limiting the IT-business partnership. Tysen emphasizes the importance of listening to partners to ensure his organization accurately understands their problems so he knows what is needed to create relevant soultions. The consistent use of business metrics across Intuit also ensures the appropriate acknowledgment of IT’s test-and-learn successes.
Test-and-learn experimentation breaks down traditional business silos and seeks to prevent ad-hoc ideation, eliminate repetitive solutioning, and facilitate cross-functional collaboration. It also promotes enterprise thinking, a practice of monitoring cross-functional requirements, scalability considerations, and long-term needs such as reducing future rework and technical debt.
Srivastava notes that Intuit’s process for test-and-learn experimentation relies on conducting deliberate tests that solve specific and identified problems rather than needless, temporary solutions. Test-and-learn experimentation not only brings MVPs to life with speed but also facilitates deliberate and intentional conversations about long-term considerations and dependencies during the product creation process, ensuring that the final product meets as many consumer needs as possible.
When working with clients seeking to streamline and scale innovation, we use a 10-step test-and-learn process to govern the intake of ideas, manage stakeholder expectations, accurately reflect capacity, and capture data to inform a solution’s journey. This process helped a recent client identify and eliminate silos that hindered collaboration while elevating the IT organization to the status of a business partner rather than an order taker.
Implementing a test-and-learn experimentation process enables an organization to narrow an infinite number of ideas and pursue only those that will deliver the most value. The IT organization is uniquely positioned to facilitate this process and help the business identify winning ideas due to its digital testing capabilities and data collection methodologies.
Working closely with business partners can help teams across the organization avoid placing big bets on ideas that may drain their resources without delivering the needed value. Prioritizing resource allocation based on test data and iterating throughout the solution development process creates a virtuous cycle where the business will increase its speed to market for winning ideas while guaranteeing maximum customer satisfaction.
The benefits that come from implementing a test-and-learn process will not be realized overnight. A structured approach to change management and user adoption is needed to ensure an effective transition. It makes sense to start small. With support from internal change champions, consider piloting a beta test-and-learn process, secure quick wins, and use that momentum to facilitate a broader rollout.
Once adopted, an enterprise might face execution hurdles that prevent maximum value realization. For example, a company may not have the discipline needed to define the hypotheses that drive testing, resulting in the creation of tests that do not produce the needed information.
Alternatively, existing data collection and analysis capabilities may not be sufficient to derive conclusive test results. An enterprise may also suffer from “analysis paralysis,” which can create stagnation when a test fails and lacks ownership over revisions. To learn more about avoiding these experimentation pitfalls, see this article that outlines how business experimentation frameworks can help mature a test-and-learn culture across an enterprise.
751: Rajan joins us to speak about his experience driving one of the most extensive cloud adoption journeys in corporate America and managing a product-oriented operating model at Intuit. We discuss the company’s ‘Big Bets’ and how technology is being used to bring them to life, specifically the company’s AI virtual expert platform. Rajan covers how he interacts with different customer journeys, how he builds an ecosystem to leverage artificial intelligence tools, and what other trends in technology are on Rajan’s radar. We also explore Intuit’s company culture, the focus on retaining talent, and the keys to Rajan’s career success.
740: Tom discusses the progress he has seen in the artificial intelligence space and the evolution of the role of platform companies like C3.ai in a company’s overall strategy. He explains what he saw back in 2009 that prompted him to embark on his journey to found C3.ai, shares the common characteristics of companies that have successfully adopted AI solutions, and dives into the emerging trend of CEOs becoming more involved with driving AI at their companies. Finally, Tom reflects back on his career success, the key learnings he has brought with him, and what continues to keep him motivated.
711: Ashok Srivastava, Chief Data Officer of Intuit, discusses the way he is transforming the business through the intersection of data, analytics, and artificial intelligence. He describes the way the three areas of focus act independently as well as act interdependently. Ashok follows up with Intuit’s Follow-Me-Home Approach to customer experience and how the three areas of data, analytics, and AI bring the perspective of the customer to the business. He also talks about the skills he hires for his team, the methods of collaboration across the organization, and maturing the company’s data strategy. With respect to artificial intelligence, Ashok addresses safety and biases and how he mitigates the risks associated. Finally, he talks about having a longer tenure in the role of Chief Data Officer, how he balances his responsibilities outside of the organization, tech trends on his radar, and his reflections on the keys to his career success.
Salesforce has announced the hiring of Juan Perez as its next chief information officer, succeeding Jo-ann Olsovsky, who held the role for four years. Perez, a past Forbes CIO Innovation Award winner, spent more than 32 years at UPS, his last five as the company’s chief information and engineering officer. He will assume his new role on April 4, 2022. Like Olsovsky, who joined the company from BNSF Railway, Perez has experience at the scale that Salesforce aspires to, given the size of UPS.
“I am thrilled that Juan is joining Salesforce as CIO,” said Salesforce Co-CEO, Bret Taylor. “He has a deep understanding of how to leverage technology to drive growth and scale, and has a strong track record of building impactful, high-performing teams. He’s also been a Salesforce customer since 2015 and deeply understands our technology and our values. I could not be more excited to partner with Juan in this next chapter of Salesforce’s growth.”
“Everything about Salesforce — the people, values, innovation and customer focus — all deeply resonate with me and align with my values,” said Perez. “After more than 30 years at UPS, I never thought I’d pursue a new career — but joining Salesforce is an honor and the opportunity of a lifetime.”
Perez has been a board member of The Hershey Company for three years, as well, and as such is part of a rare but growing group of board-level CIOs. His predecessor, Olsovsky, is also part of that club, as she is a board member of Canadian National Railway.
Peter High is President of Metis Strategy, a business and IT advisory firm. He has written two bestselling books, and his third, Getting to Nimble, was recently released. He also moderates the Technovation podcast series and speaks at conferences around the world. Follow him on Twitter @PeterAHigh.
690: Shanthi discusses the company’s immense growth and the transformation that arose as a result. Shanthi begins with what brought her to the company and what her purview entails as the company’s CIO. As a part of her role, she drives the employee experience and looks to improve it across areas like process automation and a consolidated and three-layered data strategy. Shanthi also reflects on her time at Cisco, the lessons she has brought with her to DocuSign, and how the role of the CIO has evolved over the years. Finally, she covers the state of women in technology, trends that excite her as she looks ahead, and the keys to her continued success in the field.
683: Ather Williams III; EVP & Head of Strategy, Digital, and Innovation at Wells Fargo; and Prakash Kota, SVP & Chief Information Officer of Autodesk, discuss the technology-led business model innovations at their respective companies. Prakash begins with the digital transformation he has led at Autodesk. Both executives then give their perspectives on identifying and operationalizing innovation opportunities and adopting an agile mindset to measure the value realized from these opportunities.
673: In this interview, Thomas Kurian, Chief Executive Officer of Google Cloud, discusses the future ahead for cloud technology. He begins with an assessment of where we as a society are currently in the evolution of cloud computing and how Google’s Cloud Platform differs from the rest of the players in the space. Thomas then describes Google’s ambitious mission of training 40 million people on cloud technology, why it’s important, and how Google plans on achieving it. Finally, Thomas looks ahead at the future of work and the role technology and collaboration tools will play in managing a hybrid workforce.
