Five key skills to help drive corporate growth
Developing digital know-how across teams to help drive future success
In business, you likely want experienced, knowledgeable people doing the job they are skilled in. That’s the premise behind the standard functional organizational chart.
But when it comes to digital and related skills, companies should aim to confirm that functional teams — not just the IT folks — have the practical knowledge they need to use technologies like robotic process automation (RPA), generative artificial intelligence (GenAI) and data visualization to help solve the business problems they face every day and rethink their business processes. The same goes for innovative approaches like agile project management and design thinking. Having teams know how to use technologies is important – with GenAI alone, 69% of CEOs agree that GenAI will require most of their workforce to develop new skills in the next three years
Our Global Artificial Intelligence Study: Exploiting the AI Revolution found that AI could contribute up to $15.7 trillion to the global economy by 2030. Those who upskill their workforce now will more likely benefit.
Skills that can create tech-savvy, innovative leaders
1. Artificial intelligence (AI) and generative artificial intelligence (GenAI)
AI can be used to automate tasks that require human cognition, such as fraud detection or creating maintenance schedules for aircraft, cars, or other physical assets. AI tools support and can improve human decision-making in areas from capital project oversight to customer retention to go-to-market strategies for new products. The new capabilities released in late 2022 with GenAI have introduced transformative opportunities for a radical rethink of an enterprise’s value chains and business models.
Applications across departments:
Customer or prospect behavior prediction
Product, service, or treatment recommendations
Fraud detection and cybersecurity
Automated, personalized ad targeting
AI-powered chatbot customer support
Actuarial modeling
Potential benefits of upskilling in AI and GenAI:
Faster, better decision-making and new insights
Increased productivity
Increased resilience (through threat sensing and disruption mitigation)
AI can augment human decision-making in areas from capital project oversight to customer retention to go-to-market strategies for new products and services
2. Robotic process automation (RPA)
RPA software — essentially, bots — can save time and help improve accuracy by automating time-consuming rules-based office tasks. It works with your existing systems and processes.
Applications across departments:
Data cleansing and normalization
Data replication
Portal queries
Data extraction
Data reconciliation
Price comparison
Potential benefits of upskilling in RPA:
Fewer human errors
Increased productivity from existing talent
Faster service delivery
3. Data visualization
Humans can often process visual representations more easily than spreadsheets, and data visualization conveys complex concepts and calls out patterns in data.
Applications across departments:
Delivering data more efficiently
Assisting decision-making
Showing trends over time
Communicating information in a universal way
Surfacing market opportunities
Potential benefits of upskilling in data visualization:
Better insights derived more quickly
Data pattern and trend identification
Better use of data to inform business strategy
4. Agile project management
Agile project management helps organizations develop new products or services in a flexible and interactive way, likely shortening development cycles and increasing speed to market.
Applications across departments:
Confirming quality
Improving management of smaller projects within departments
Improving performance of larger projects managed by the Project Management Organization (PMO)
Enabling cross-functional collaboration
Keeping up with the fast pace of change
Improving relationships with stakeholders
Potential benefits of upskilling in agile project management:
Faster time to market
Better communication among teams
Better models for continuous improvement
Agile project management helps organizations develop new products or services in a flexible and interactive way, likely shortening development cycles and increasing speed to market.
5. Design thinking
Design thinking is an approach to product design that prioritizes users, taking an iterative approach that encourages improvement through testing and incorporating user feedback. It is not, however, limited to product design and can be applied to problem-solving, collaboration, and decision-making.
Applications across departments:
Improving ability to see root problems
Building on insights to serve human needs
Creating customer-centered solutions
Imagining, co-creating, and prototyping new products, services, strategies and business models
Potential benefits of upskilling in design thinking:
Better understanding of the user experience
Fewer unnecessary deliverables created
Higher user adoption
Building a learning culture within an organization
Improving capabilities within an organization includes upskilling employees across departments and functions. Developing talent can help improve your organizational capabilities — especially in the five key areas for corporate growth: RPA, AI/GenAI, data visualization, agile project management and design thinking. Upskilling in these areas can help establish a culture of experimentation and innovation, productivity and a continuous learning mindset.
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