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 transformation initiative


The Innovation-to-Occupations Ontology: Linking Business Transformation Initiatives to Occupations and Skills

Elia, Daniela, Chen, Fang, Zowghi, Didar, Rizoiu, Marian-Andrei

arXiv.org Artificial Intelligence

The fast adoption of new technologies forces companies to continuously adapt their operations making it harder to predict workforce requirements. Several recent studies have attempted to predict the emergence of new roles and skills in the labour market from online job ads. This paper aims to present a novel ontology linking business transformation initiatives to occupations and an approach to automatically populating it by leveraging embeddings extracted from job ads and Wikipedia pages on business transformation and emerging technologies topics. To our knowledge, no previous research explicitly links business transformation initiatives, like the adoption of new technologies or the entry into new markets, to the roles needed. Our approach successfully matches occupations to transformation initiatives under ten different scenarios, five linked to technology adoption and five related to business. This framework presents an innovative approach to guide enterprises and educational institutions on the workforce requirements for specific business transformation initiatives.


Laggards, leaders face digital transformation challenges

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The disparity between digital transformation leaders and laggards stems from a complex web of overlapping factors -- which often speak more to organizational issues than technical difficulties. Considerations in play include corporate history, IT philosophy, the ability to deliver on customer experience and a product vs. project mindset. A particularly important element separating a successful digital business from its competitors is a knack for translating small successes into enterprise-wide benefits. Indeed, overcoming digital transformation challenges at scale is crucial for realizing the promise of technology-infused business models, according to CIOs and industry analysts. Companies playing catch-up in the digital race must first focus on the essentials, such as customer experience, before moving on to more innovative pursuits.


Digital Banking Transformation to Focus on Channels & Analytics in 2022

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Digital banking transformation has enabled many financial institutions to become more prepared for the future as the world was disrupted by the pandemic. For those banks and credit unions that have become the most digitally mature, the focus on improving the customer experience, increasing the use of data and advanced analytics, and deploying new technologies has positioned them at a competitive advantage. Despite the progress made, all financial institutions will need to increase investment in digital banking transformation initiatives, responding to marketplace expectations and adjusting business models to reflect a highly altered banking ecosystem. A great deal of the focus in 2022 will need to be on back-office processes that are highly outdated and have slowed the progression of all digital banking transformation efforts. The future will also see a greater involvement of banking staff in building humanized experiences for transactions that were initiated digitally.


Mitigating the hidden risks of digital transformation

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Companies are looking to grab any technology-driven advantage they can as they adapt to new ways of working, managing employees, and serving customers. They are making bigger moves toward the cloud, e-commerce, digital supply chains, artificial intelligence (AI) and machine learning (ML), data analytics, and other areas that can deliver efficiency and innovation. At the same time, enterprises are trying to manage risk -- and the same digital initiatives that create new opportunities can also lead to risks such as security breaches, regulatory compliance failures, and other setbacks. The result is an ongoing conflict between the need to innovate and the need to mitigate risk. "There is always going to be some amount of tension relating to managing risk and engaging in digital transformation work," says Ryan Smith, CIO at healthcare provider Intermountain Healthcare.


Guide to AI Strategy for the Market Research Executive

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Artificial intelligence is transforming market research. US companies are predicted to spend over $31 billion in 2020 to better understand their customers, their markets, their competitors and the perception of their brand. AI is fueling this increase in spending, up from $16 billion in 2019. Digital transformation initiatives are integrating digital technology into all areas of the business, transforming how the business operates and delivers value to its customers. Since technology is rapidly evolving, this transformation is driven by a cultural change, not a single process or initiative, that requires experimentation, learning and failure.