Boris Shulkin was recently named Executive Vice President and Chief Digital and Information Officer of Magna International 1 $36.2 billion revenue Canadian auto parts manufacturer with 161,000 employees, 340 manufacturing locations, 89 product development locations and operates in 28 countries. Boris is based in Bloomfield Hills, Michigan, and he will work out of the company’s Troy, Michigan offices.
In his newly elevated role, he is responsible for all information technology and digitization. He leads a global team of roughly 500 employees focused on the shift to digital processes across the entire enterprise and within all relevant workstreams by incorporating usage of technologies, cloud and analytics to create business value using data.
“The acceleration of digital transformation is about bringing efficiencies across the entire enterprise through effortless data access and extracting business insights,” said Shulkin, referring to his new role. “I’m excited to lead a dynamic team and help grow a long-lasting technology-based moat in a company that’s advancing mobility for everyone and everything.”
In roughly 19 years with the company, Shulkin has held a number of roles of growing responsibility. Most recently, he was Magna’s executive vice president of Technology and Investment helping drive overall technology strategy in the rapidly evolving mobility landscape. He has also been senior vice president of Research & Development, leading the incubation of new radar chip development while playing a key role in identifying potential new partners to engage to bring new technologies to market.
Shulkin began his career in the auto industry in 1995 as an engineer and joined Magna in 2003. Shulkin holds doctoral degree in applied statistics, and he holds multiple patents spanning manufacturing, process design, product and controls.
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.
Not long ago, Target’s legendary chief information officer Mike McNamara announced his intent to retire. He would stay on through the naming of his successor. That successor has been found, as Brett Craig has been elevated to the executive vice president and CIO role at the company. He has been with the company for roughly 14 years, and he has held roles in technology and in merchandising among other business areas. His penultimate role was as the senior vice president of digital.
“The updates we’re making to our leadership team reflect the size and scale of our more than $100 billion business, while also positioning the company for continued momentum well into the future,” Target’s Chairman and Chief Executive Officer Brian Cornell noted. “I have tremendous confidence in [the company’s new leaders, Craig among them] and the value they bring to our organization as we work together to meet the needs of current and new Target guests.”
“This is a chance to work with thousands of world-class technologists building products and platforms that impact millions of people every day,” said Craig. “Our tech, data sciences and cybersecurity teams are simply doing an incredible job enabling Target’s strategy and advancing everything we do in service to our purpose. That’s a journey we’re going to accelerate, and Target’s culture of care, grow and win together will lead the way. How Target tech and our teams work together across the company is one of the most unique differentiators of our success.”
When reflecting on some of the areas that he will push hard to accelerate in the near term, Craig noted more personalized, relevant and seamless experiences for Target’s guests and creating new offerings that will drive more business to the company’s stores, Target.com and the Target app.
McNamara will stay on board as a strategic advisor to the company through the end of January 2023.
As we recently passed the two anniversary of the pandemic, necessitating those of us who could work remotely to primarily do so, quite a bit has changed. Some companies have begun to return to office work on a hybrid basis, and roughly three-quarters of companies suggest that the path forward will be hybrid.
Whereas in 2019 and years prior, all work was assumed to primarily take place in an office, now there is optionality. Employees have different visions for what works best for them. Whereas one employee may long for more work in the office, others never wish to step foot in an office again, avoiding commutes and maximizing time with family in the process. These differences of opinion run the risk of creating conflict. To alleviate that possibility, a framework can be helpful. That framework can guide employees to determine together when to work in an office. With that in mind, here are five Cs to determine when work is best done together in an office:
A team may choose to connect when team members from different cities happen to be in the same city. This offers opportunities to bond, to break bread and to share experiences.
Connection may also come in the form of a firm gathering. Especially for firms where most work will be done virtually, outside of the confines of an office, some have elected to have all firm gatherings or department gatherings either in a city where an office hub exists or at a destination, such a Miami during the winter or a hiking destination during the summer. These are opportunities for connection that bond teams together. Colleagues can get to know each other outside of the work setting, and the next gathering may be the light at the end of the tunnel that keeps them looking forward to time with the firm.
Given the emphasis on virtual work over the past two years, there has been much call to evaluate where creative collaboration is best done. Most research suggests that when teams are called upon to create they do so best in person. Though online tools such as Miro and Mural offer worthy alternatives to the traditional white board, brainstorming in the same room together continues to offer greater chances to catch lightning in a bottle and draw out the best ideas for the company. True creation often entails developing something new. This might be a new innovative product, for example. Again, bringing together a cross-functional team in the same room where each can easily hear from each other, note all that is happening, and the like is the fastest path to success.
The office setting is often best suited for collaboration beyond creation, as well. One can think about a linear path in the collaboration process. As a new project or initiative is identified, the kickoff may best done in person. This collaboration can help mete out a plan, determine who will be responsible for what, and what sub-teams might collaborate on which details. There will likely be a period where individuals will have solo work to accomplish before the next collaboration is necessary. Thus, through the life of the initiative, it will be appropriate to work independently for a period and then to collaborate in person together. This can be a force multiplier to productivity, as during periods where independent work is appropriate, one can avoid the commute, perhaps leveraging a bit of the time that would have been spent doing so to drive the independent work to its conclusion.
At a time when so many people are leaving jobs as part of the so-called great resignation, it is all the more important to invest in one’s people. Better coaching, counseling, and career planning are key investments to make. An in person meeting is often best to read reactions to guidance provided, praise given, and constructive criticism proffered. These are conversations where trust can be won or lost, and it is best to be in person for more of them, if possible. Ironically, it is often the youngest members of our teams who appreciate the importance of in person career planning least but benefit the most from such guidance. It must be proven to them that these conversations are worth their while with the results that they might garner from more explicit planning sessions.
Last among these factors is the need to celebrate together. During the period of virtual work primarily, where meetings tended to stick to agendas that fit in 30 or 60 minute windows and then each team member spread like seeds to the next series of meetings with other people, many took for granted the need to celebrate all that we accomplish along the way. When a project concludes, when promotions are announced, when quarterly earnings are made public, among many reasons to possibly celebrate, taking the opportunity to do so forges bonds, while also making explicit the accomplishments of the team.
None of this is to say that these five activities can only happen in offices. None should wait for everyone to be in the same place at the same time to happen, of course, but in the balance, these are activities that are best done in the office. The framework is clarifying. It articulates a means of cutting through conflicting opinions of whether to meet in person or not. One can imagine colleagues debating whether an activity should be done virtually or if it rises to the level to warrant a trip into the office. One could determine if the activity aligns with the categories given, and if so, make the call to do so. Hybrid work is tricky as we have the unleveling of the playing field in earnest, but by setting up some simple ground rules together with sound explanations of why the path has been chosen will ensure that you are building trust across the team for the long term.
Monday, Boeing announced that Ted Colbert has been named president and chief executive officer of its Defense, Space and Security business. This move will take effect on April 1. Colbert succeeds Leanne Caret who is retiring following nearly 35 years with Boeing. Colbert had been president and CEO of Boeing Global Services (BGS). Stephanie Pope has been appointed as his successor in that role.
Boeing’s Defense, Space and Security business provides military aircraft and network and space systems to customers around the world, and earned revenues of $26.5 billion in 2021. As such, this is the company’s largest business unit by revenue.
“Throughout his career, Ted Colbert has consistently brought technical excellence and strong and innovative leadership to every position he has held,” said Boeing president and CEO Dave Calhoun. “Under his leadership, BGS has assembled an excellent leadership team focused on delivering safe and high-quality services for our defense and commercial customers. His leadership track record and current experience supporting the defense services portfolio ideally position Ted to lead BDS.”
Colbert joined Boeing’s information technology department in 2009, rising to the role of chief information officer in 2013 and to the role of CIO and senior vice president of Information Technology & Data Analytics in 2016. It was in that role that Colbert won Forbes CIO Innovation Award in 2018 for the development of a digital flight deck. In May of 2021, Colbert joined the board of ADM, the $85 billion revenue multinational food processing and commodities trading corporation, as well.
Colbert’s expanded responsibilities from CIO to CIO-plus to beyond CIO to board-level executive has him in an exclusive but growing club of former CIOs who have expanded their responsibilities.
In 2015, when Mike McNamara received a call from a headhunter that Target, a Minneapolis, Minnesota-based nearly $100 billion revenue retailer was interested in having him come aboard as the company’s next chief information officer, he had one question: where is Minneapolis? McNamara is a native of Ireland, and he received the call when he was in the throes of a distinguished tenure as the CIO of Tesco in the UK. As he delved deeper into this opportunity, he realized this was the same Target that had had a notorious cybersecurity breach. The company was also just coming off an unsuccessful entry into the Canadian market, as well. Given this introduction, what attracted McNamara to leave his company for another much farther from home?
“The downside when you looked at it was that there was a business that lacked confidence in itself, but the upside was that you have this phenomenal brand, and you had a business that was brilliantly run financially, so a balance sheet to die for,” said McNamara. “Then they had a tremendous body of highly capable people.” He reconned that this was a case of a company that had slightly lost its way, but the ingredients for a remarkable rebirth were there, given its human and financial resources.
Part of McNamara’s reputation was built based on a remarkable digital transformation at Tesco, which included industry leading ecommerce capabilities. As such, he knew that Target’s future also had to be digital. Target had under-invested in digital capabilities prior to his tenure, but the impetus for his hiring was a recognition that this needed to change.
Like so many companies in the middle of last decade, Target had outsourced significant parts of its IT. “When I began at Target, 70% of the team was outsourced… [First, we had to ensure that] we were only doing work that was of value strategically to the organization. Second, we [had to] build up our own engineering capability in-house with a focus on the team. Then third, [we had to modernize] our architecture.” McNamara underscored this last point noting that architecture was the key to his vision. “The reality is nobody can predict the future,” he noted. “I couldn’t predict what was going to happen over the ensuing six years when I joined and clearly, a lot of things did happen, including the pandemic, which nobody saw coming. What was important was to start building an architecture that would be scalable, stable, secure, but agile, [giving the company] speed.”
This began a journey that would take the IT team from being 70% outsourced to 93% insourced today. By developing a strong stable of technical talent, he had a much stronger foundation upon which to build. That included investing in data and analytics to a much greater degree. The journey that was created led to talent being attracted to join for the next phases. His team now boasts having roughly 400 engineers dedicated to data science, and another roughly 200 mathematicians. These talented technologists have been among the keys to Target’s success across the past six plus years.
Target can now us artificial intelligence (AI) to recommend products based on searches, to aid demand forecasting and ordering and all along the supply chain. AI is used for workload planning, assortment planning, pricing and promotion of products. It is also used for smaller initiatives such as investigating the quality of imagery that the company puts on the website, or to correct errors in item set up.
McNamara has been a CIO long enough that he has seen the role fundamentally change from an efficiency driver focused mostly on the internal operations to a money maker for the enterprise. “[Today, IT is] about selling stuff far more than it is about moving stuff, which it was in the past in retail,” McNamara said. “It has completely changed over the course of my career. That engineering capability was important to build that up.” He went on to say that DevOps and the migration from a project orientation to a product orientation have also been great growth catalysts for technology and digital divisions in retail and beyond.
Speaking of the product orientation, McNamara’s commitment to it was complete. “We moved the entire team into a product structure overnight,” he emphasized. “Then we burned our bridges behind us by releasing all the project managers, program managers, and business analysts. Then we got on with making it work, which might sound a wee bit cavalier, but it wasn’t. We backed it up with a ton of training.” Today, his team focuses on a couple of hundred products across the business, each of which has a release either daily or weekly. He noted that the only limit to the speed of these releases was the ability of the business and customers to absorb the change.
The pandemic changed the buying habits of many, and Target’s ability to lean on digital revenue streams and digital experiences proved to be a remarkable advantage. Here an analogy was helpful. McNamara was used to the need to scale up digital at the time of Cyber Monday, the biggest online shopping day of the year that falls on the Monday following Thanksgiving. “We already had the ability to scale our systems to that kind of capacity, so that was relatively straightforward,” noted McNamara. “We also had to produce new applications and new features and functions both for our guests and our business at a phenomenal rate.” In essence, McNamara ran the Cyber Monday playbook throughout the year.
An example of an innovation that was necessary due to the health concerns of the pandemic was the limited number of people allowed in a store at any one time. It was critical that the company remain compliant with this. Many companies resorted to having team members stand at the doors and take a manual tally using click counters to determine who was coming in and who was going out. McNamara and his team developed an app powered using artificial intelligence that was installed over the entrance and exit doors of stores. The app kept an up-to-date count of how many people were in stores. That app took a week to produce and two weeks to roll out nationally.
A key to this remarkably rapid response was having the engineering team in house. “Having that engineering team in house without the handoffs, having a product structure that manages the backlog, and then having an agile architecture [all made the difference],” said McNamara. “There is no way Target would have had the standout year we had last year had we not invested in the capability in the team and the definition of the architecture.”
It has been announced that McNamara is months away from his retirement from Target. This will bring to an end one of the more remarkable CIO careers, but his history of transforming a retail stalwart into a digital leader will live on as his legacy.
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.
With all the ways digital innovation has enabled companies to remain productive during the pandemic, one of the most positive outcomes is improved collaboration across traditional business silos. In my new book, Getting to Nimble: How to Transform Your Company into a Digital Leader, I discuss how enterprises have made these silos more permeable, creating greater partnerships along the way.
Consider the following five examples and how they could apply to your digital transformation efforts.
Talented technologists are in high demand at most organizations, tasked with helping teams in other divisions figure out the digital implications of their ideas and strategize accordingly. In many cases, these ideas come from the technologists themselves. Companies that provide such “T-shaped” career paths offer an enormous advantage, developing leaders with great breadth and depth of experience. When they ascend to “chief” roles, they do so with a much clearer understanding about how value is created within the enterprise.
Agile methodology has been a boon for collaboration across the enterprise.
The traditional “waterfall” method of development involves someone from the business side (outside of IT) placing an order with the IT department. The IT team then develops this order, with little input from the business side until the project is completed months later.
In contrast, agile development includes the intended audience or user of the project in development from ideation through completion. With each iteration, the user validates value, and features are amplified or turned off accordingly. In some cases, the entire project may even be scrapped as a result of what the team learns.
DevOps blends two traditionally siloed parts of the technology and digital domain: development and operations. In a traditional project development model, developers take a project from ideation through completion, and the operations team then moves it forward. There is often a moment in the lifecycle when the project is “thrown over the wall” from development to operations (even this phrase highlights the distance and disconnects between the activities of the two groups).
DevOps instead makes delivery teams responsible for production issues and fixes, whether legacy or new, drawing them into the lifecycle earlier. Greater levels of involvement and accountability make for better work products.
The migration from a project to a product orientation is another area that benefits from greater collaboration. Internal “products” are also good examples of this – think order-to-cash, onboarding new hires, or creating a mobile customer experience.
These products potentially involve great value, and the product teams are typically cross-divisional or cross-discipline: They might include tech and digital, marketing, sales, operations, and any other division to which the product is relevant. A product leader should lead the cross-functional team, and that team should be prepared to remain intact for a longer period of time than the typical project.
An early example of this type of project orientation comes from Atticus Tysen, Chief Information and Security Officer at Intuit. When Tysen became CIO, he brought with him a product orientation, defining products for IT to drive. By developing in long-term teams, each team member was able to develop a higher level of expertise in the product area than they would have in a more traditional project structure.
Data strategy has also driven more cross-functional thinking. Done well, all strategy should invite greater collaboration across traditional silos since value is truly driven at the intersection of the disciplines. Data strategy should apply everywhere data is gathered, secured, synthesized, and analyzed – across the entire company.
Many companies have found it useful to have a leader who drives data strategy on the company’s behalf. To do this effectively, that leader (whether the CIO, the chief data officer, or another IT role) should engage leaders in other parts of the company to ensure that the data strategy is as comprehensive and useful as possible.
These are just a few areas where stronger collaboration is happening across industries and geographies. Companies that fail to take advantage of these trends risk falling behind more nimble players in their industry.
Peter A. High is the author of GETTING TO NIMBLE: How to Transform Your Company into a Digital Leader (Kogan Page, Spring 2021) and President of Metis Strategy, a management and strategy consulting firm focused on the intersection of business and technology. He has advised and interviewed many of the world’s top CIOs and leaders at multi-billion-dollar corporations like Gap, Bank of America, Adobe, Time Warner Inc., Intuit, and more.
by Peter High, published on Forbes
6-20-2016
Artificial intelligence (AI) is a white hot topic today as judged by the amount of capital being put behind it, the number of smart people who are choosing it as an area of emphasis, and the number of leading technology companies that are making AI the central nervous system of their strategic plans. Witness Google’s CEO’s plan to put AI “everywhere.”
There are some estimates that five percent of all AI talent within the private sector are currently employed by Google. Perhaps no on among that rich talent pool has as deep a set of perspectives as Geoff Hinton. He has been involved in AI research since the early 1970s, which means he got involved before the field was really defined. He also did so before the confluence of talent, capital, bandwidth, and unstructured data in need of structuring came together to put AI at the center of the innovation roadmap in Silicon Valley and beyond.
A British born academic, Hinton is considered a pioneer in the branch of machine learning referred to as deep learning. As he mentions in my extended interview with him, we are on the cusp of some transformative innovation in the field of AI, and as someone who splits his time between Google and his post at the University of Toronto, he personifies the value at the intersection between the research and theory and the practice of AI.
(To listen to an unabridged audio version of this interview, please click this link. This is the eighth interview in my artificial intelligence series. Please visit these links to interviews with Mike Rhodin of IBM Watson, Sebastian Thrun of Udacity, Scott Phoenix of Vicarious, Antoine Blondeau of Sentient Technologies, Greg Brockman of OpenAI, Oren Etzioni of the Allen Institute for Artificial Intelligence, and Neil Jacobstein of Singularity University.
Peter High: Your bio at the University of Toronto notes that your aim is to discover a learning procedure that is efficient at finding complex structure in large, high dimensional data sets, and to show that this is how the brain learns to see. I wonder if you can talk a little bit about that and about what you are working on day to day as the Emeritus University Professor at the University of Toronto as well as a Distinguished Researcher at Google today.
Geoffrey Hinton: The brain is clearly very good at taking very high dimensional data, like the information that comes along the optic nerve is a million weights changing quite fast with time, and making sense of it. It makes a lot of sense of it in that when we get visual input we typically get the correct interpretation. We cannot see an elephant when there is really a dog there. Occasionally in the psychology lab things go wrong, but basically we are very good at figuring out what out there in the world gave rise to this very high dimensional input. After we have done a lot of learning, we get it right more or less every time. That is a very impressive ability that computers do not have. We are getting closer. But it is very different from, for example, what goes on in statistics where you have low dimensional data and not much training data, and you try a small model that does not have too many parameters.
The thing that fascinates me about the brain is that it has hugely more parameters than it has training data. So it is very unlike the neural nets that are currently being very successful. What is happening at present is we have neural nets with millions of weights and we train them on millions of training examples and they do very well. Sometimes billions of weights and billions of examples. But we typically do not have hugely more parameters than training data, and that is not true with the brain. The brain has about ten thousand parameters for every second of experience. We do not really have much experience about how systems like that work or how to make them be so good at finding structure in data.
High: Where would you say we are on the continuum of developing true artificial intelligence?
To read the full article, please visit Forbes
5-23-2016
Angela Duckworth was an outstanding student growing up, so much so that she was admitted to Harvard University. All the while, however, she was reminded often by her beloved father that she was “no genius.” Many years later, with degrees from Harvard, Oxford, and the University of Pennsylvania under her belt, she was selected as a MacArthur Fellow. Rather ironically, given her father’s reminder, she was officially a genius, as the MacArthur Foundation confers “genius grants.”
To make this story yet a bit more ironic, Duckworth, who is a professor of psychology at Penn, studies grit, which she defines as a combination of perseverance and passion for especially challenging long-term goals. She believes grit is a better predictor for long-term success than our traditional understanding of genius as traits or talents that we are born with. In other words, though she was ordained as a genius, she lets us know there is no reason why we cannot be equally successful in our chosen areas of passion.
This month, Duckworth’s book, Grit: The Power of Passion and Perseverance was published. It offers invaluable lessons to business leaders, parents, recruiters, and almost anyone who wishes to have a roadmap to achieve greater levels of success personally, as well as methods to use to instill grit into our kids and our work teams.
(To listen to an unabridged audio version of this interview, please click this link.)
Peter High: How did you determine that this would be at least a significant portion of your life work?
Angela Duckworth: I would date back to my first year of graduate school when I knew that I wanted to understand the psychology of high achievers. I basically believed then, and I do now, that almost anything can be studied, almost anything can be reverse engineered, so if we could put these high achievers under the microscope then we would be able to emulate, or imitate at least, their habits, their beliefs, and maybe replicate their experiences.
I started interviewing these high achievers in business, but also in sports; any high achiever that I could lay my hands on through connections of my advisor or myself. And two themes emerged from the conversations. One was “Wow, the people who are successful are relentlessly dedicated to what they do.” They have a kind of endurance in their effort; they do not get disappointed for long. It is not that they do not get disappointed, but they get back up again, and they are tirelessly working to get better. Perseverance. But there is also stamina in their interest: they are just never bored with what they do. They find it interesting and meaningful, and so they do not switch course a lot. They do not work hard at different things. They work hard at one thing.
High: It seems like every commencement address has a version of “follow your passion”, as though your passion is half a block ahead of you. You make the point that in some ways that is not the most productive way to think about this. You write that it is essential to try a variety of things and quit those things that do not create a spark of passion inside of you, until you find that one thing or series of things that will inspire grit. Can you talk about that?
