Looking to take a step up in your CIO career? IT leaders and executive advisors outline key strategies for earning a more prominent, impactful role
"Many CIOs rose to the front lines of leadership during the COVID crisis, as they accelerated their organizations' digital transformations to survive the pandemic and its economic fallout.
But not all IT leaders gained that prominence. Some remain stuck in an order-taker role, where they support their company's initiative and enable its strategic agenda but aren't driving much, if any, of the actual change..."
Observability is emerging as a critical consideration for today's DevSecOps teams, who are tasked with adapting to the radical transformation of IT environments
"At a high level, observability refers to the degree to which the internal state of a system can be inferred based on externally available outputs. Therefore, the more observable a system is, the more it will enable teams to understand, manage, and enhance its performance. And with IT teams struggling to cope with today's complex and dynamic IT environment, experts believe having a robust observability practice means fewer service disruptions, better customer experiences and more successful digital transformations. And all of this, leading to an improved bottomline..."
Check out these five thought-provoking HBR articles, curated especially for CIOs and IT leaders
"Each month, through our partnership with Harvard Business Review, we refresh our resource library with five new HBR articles we believe CIOs and IT leaders will value highly. Check out the curated pieces below, available to readers through the end of the month.
- For an agile transformation, choose the right people
- 5 questions boards should be asking about digital transformation
- 4 ways to manage your energy more effectively
- 3 ways to help your team recover from disruption
- A CEO's guide to planning a return to the office
Read on for details
Strategic plans are often created and then forgotten until the next planning cycle begins.
"That's one reason that strategic execution often takes too long and costs more than originally anticipated. In fact, only 8% of strategy leaders report a success rate of 90% or more on long-term strategic initiatives.
Done well, a strategic plan turns the enterprise strategy into specific initiatives and actions that provide a clear roadmap to execute the strategy and meet business goals..."
In 2021, digital transformation no longer counts as innovative; it's a baseline expectation for every enterprise
"The trust imperative is the next major shift enterprises will encounter. New market leaders will not solely arise from technology platforms, sophisticated analytics, or sophisticated capital allocations. Instead, consumers and business leaders will increasingly turn to companies they can trust. And trust will move markets.
At Forrester's upcoming Security & Risk event on November 9-10, I'll deliver a keynote on the CISO's role in the trust imperative. Security leaders will learn why and how the trust imperative requires their full participation. There is no executive role that better aligns with the trust imperative than the CISO..."
The global pandemic waxes and wanes, but it has not slowed the massive digitization of data, often referred to as digital transformation, that is now challenging large enterprises and government organizations that are attempting to deploy new digital strategies.
"Since 2016, the digital transformation phenomena have generated 90% of the world's data and this astonishing growth shows no sign of slowing.
Digital transformation is rapidly increasing requirements for larger technology stacks to store, compute, analyze and connect the data. All of this requires more power as evidenced by the Valuates Report, which projects the global data center market for power increasing 43% from $15 billion in 2020 to $21.5 billion by 2026.
This increase in demand for power is commensurate with increases in data center space and connectivity required to accommodate expanding compute and storage environments in colocation data centers..."
Modern drug discovery relies heavily on predictive analytics, artificial intelligence, and machine learning. As a result, many large pharma and biotech companies are using data science to drive innovation in drug discovery
We speak with Dr. Bulent Kiziltan, Head of Causal & Predictive Analytics - Data Science & AI at the Novartis AI Innovation Center to learn more about the pharmaceutical industry.
The conversation includes discussion of these topics:
- AI and data science in pharma
- Talent management and diverse teams in pharma
- Using AI and data science in drug discovery and precision medicine
- Challenges in drug discovery and precision medicine
- How Novartis engages community around AI awareness
- Managing bias in data science and AI
- What are the differences between lab-based and AI-based approaches to drug discovery?
- Advice to business leaders on managing AI teams
Dr. Bulent Kiziltan is a scientist and an executive who drives
innovation by combining an entrepreneurial mindset with scientific
excellence. Currently, he is leading innovation efforts focused on
Causal and Predictive Analytics at Novartis.
Dr. Kiziltan holds a PhD in astrophysics with a focus on applied mathematics, two
MSc degrees in astronomy and astrophysics with a focus on statistics,
and graduated summa cum laude as valedictorian with a BSc in physics..."
See all Archived IT - CxO articles
See all articles from this issue