Commonly, many AI projects fail for the same reason digital transformation projects fail.
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Commonly, many AI projects fail for the same reason digital transformation projects fail. No comment yet.
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While the concepts of disruptive innovation are well established, startups and incumbents alike continue to struggle with becoming disruptors. This article explores four common challenges that trip up efforts and offers strategies for overcoming them.
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In 2024, enterprise leaders are doubling down on their genAI investments. 16 developments for founders to keep in mind to capture this new opportunity.
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Adopting a universal system of record can help to alleviate many of the challenges digital transformation presents.
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Where innovation proliferates, fast-moving companies rely on special review teams to keep projects aligned with the mission.
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We’ve been taught it in business schools and at conferences.
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With the impressive digital era unfolding over the past three decades, how can leaders prepare their organizations for the next iteration of digital transformation?
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hbr
Disruption is not the only path to innovation and growth. Creation without disruption or nondisruptive creation is about creating a new market outside or beyond existing industry boundaries, and has its own organizational and business advantages.
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Digital leaders looking for a roadmap should start with this five-pillar framework to ensure tech investments are aligned with their overall strategic vision.
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Digital transformation is changing what people do in their place of work. It can automate repetitive, simple tasks and administration, as well as support and inform decision-making.
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In the contemporary expanse where bytes and bits have become the bedrock of innovation, a new kind of acumen is demanded from leaders and change agents across industries.
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CTOs play a strategic role in helping organizations protect corporate data as they implement generative AI tools in the workplace.
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Inadequate planning leads to costly misalignments in resources and objectives, underlining the importance of a comprehensive strategy in cloud implementation. |
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gigaom
Digital transformation is the holy grail of businesses today, but the route is bumpy and the journey full of challenges. Businesses have, in waves, seen tech innovation as the gateway to unimaginable riches, all the while being unable to break from the shackles of reality.
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Generative AI is not the only initiative that can transform your company in the coming year. Addressing operational gaps and building up new digital leaders can also be force multipliers.
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hbr
Should your company be betting on AI as a growth strategy now? How do you distinguish genuine opportunities from speculative fads and make an informed decision on whether AI is your next big bet? In this article, the authors cover five steps to help your company answer this question. After thoughtful analysis, your decision ultimately boils down to this: Does the current state of AI align with your business strategy? If it does, the investment in this tech wave could propel your business to new heights.
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The problem with an AI-first strategy lies not within the “AI” but with the notion that it should come “first” aspect. An AI-first approach can be myopic, potentially leading us to overlook the true purpose of technology: to serve and enhance human endeavors. Instead, the author recommends following 3Ps during an AI transformation: problem-centric, people-first, and principle-driven.
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Here are three predictions about how AI will impact business changes over the next three to five years, each with its own unique, significant impact.
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hbr
The decay of rules-based trade means that companies can no longer find growth as easily by expanding to new locations, or expanding demand through low-cost single point sourcing. In this context, companies seeking growth must develop innovative offerings to expand demand. These offerings are, essentially, products of imagination — conceiving of and realizing new possibilities — a challenge that companies struggle with.
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Being data-driven has been a priority for companies for decades — but many have seen mixed results. Why? According to a new survey of executives, coompany culture is a harder hurdle to clear than any technical problem.
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With the role expanding well beyond its decades-old roots and top tech chiefs rebranding departments for the digital era, some IT leaders are rethinking what’s in a name. For Tim Wenhold and Marc Sule, CBTO hits closer to the mark.
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Digital tools powered by relevant data can help to generate customer insights, better allocate sales resources, facilitate channel interactions, and improve brand value. But, like any tool, digital systems are only as good as their users. It’s not just data, but information relevant to sales and channel partners; and it’s not just information, but management and process initiatives that translate that information into marketplace results.
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Use this framework to improve your business model and competitive advantage.
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mitsloan
Companies already focused on adopting and effectively using digital tools and technologies are now figuring out how generative artificial intelligence fits in.
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Applying lessons learned from initial forays into the cloud, IT leaders are forgoing platform-first mantras in favor of workload-specific strategies for deciding where applications will run best. |