With the introduction of software as a service, organizations need to understand and evaluate their options to account for their SaaS implementation expenses for both book and tax purposes. This blog post focuses on two major considerations for companies implementing a SaaS solution.
As companies look for more efficient ways to provide value to their customers, natural language processing (NLP) is providing an alluring solution. The power of NLP can be deceptively disruptive providing consumer empowerment in incremental stages.
Competitors are no longer recognizable. New strategies are required. The game has changed. Today’s rules might not apply tomorrow. Learn from blockchain-based healthcare companies that are redefining the rules.
The Fourth Industrial Revolution brought the convergence of the physical and cybernetic worlds, and the digital technologies that came along with it have created new paths of innovation that have disrupted the once known as the most traditional business model: the financial services industry. Will banks and financial institutions survive the arise of the FinTech era?
Printing giant R.R. Donnelley recently capped a nine-month sprint to divide itself into three businesses, while Western Digital merged with HGST and SanDisk in a short period of time. Here’s how their CIOs did it.
Consumerized analytics applications are everywhere, but their presence isn’t obvious. Managing this phenomenon at the executive level isn’t easy. People are always looking for the silver bullet, the single solution. It can’t all be known. Or, put another way, if it can all be known then it’s not changing, not evolving, not transforming.
Cheaper inputs are no longer strategic for enterprise IT, but a system that propels productivity and throughput while supplying a steady stream of innovations is. The Trump presidency may become a catalyst for it.
Every IT department needs to act and think like a business. That means doing things better, faster and cheaper. Lean is a methodology that every IT department can adopt to achieve that goal, but what's more important than the framework is transforming the culture to think lean.
Companies are realizing that results of analytics proof-of-concepts are neither sustainable nor scalable. What is required to turn investments in analytics into sustainable and scalable business outcomes?rn
A new technology does more than just present more competition for an old technology. It presents a different type of competition whose value proposition does not fully overlap with the old technology offer, and that can disrupt businesses drastically.
The creative economy is an entirely different beast from the industrial economy that preceded it. The shift to the creative economy is hard enough without our continued use of mass-production-era management techniques. It’s fashionable to criticize the management techniques of the mass-production era but we're better off being a bit more reflective. The strategic CxO must help the organization learn its way forward, and the means for doing that will be found in enterprise analytics.
The multitrillion-dollar industry of enterprise IT is facing a major disruption. The process was initiated by the pure-play digital enterprises like Amazon and Google a decade ago, and it has recently accelerated with the broad adoption of digital-era operating models (API, IoT, XaaS), methodologies (agile, DevOps, CI/CD) and technologies (cloud, analytics, mobile).
While innovation is a goal of most organizations, many IT leaders are hard-pressed to define what innovation is. The CIO Executive Council outlines four essential principles for IT leaders to keep in mind as they develop or hone their strategies.
The imminent and inevitable disruption caused by digital transformation calls for a new breed of CIO’s, with a different mindset and new capabilities to become one of the most strategic references from every company affected by this new digital era. But there ‘s still a path to be walked.
When IT and business stakeholders manage to communicate effectively, companies can get apps to market faster and get capabilities for user needs quicker. But it’s easy for something to get in the way of the relationship or even for an important advantage of the relationship to be overlooked. Pitfalls to avoid in the relationship between IT and the business.
Market leaders and digital experts still don't know on who should lead digital transformation. 2017 will be a big year for the emerging digital economy, and it is time for CIO's to combine their technical knowledge with a deep market analysis on the impact and economic mechanisms of the digital disruption and, once and for all, take the lead on digital transformation.
In spite of the time and money spent, few software deployments meet expectations. Why? This article examines the more common reasons why selecting software is so difficult, so these problems can be avoided.
The market for enterprise messaging and collaboration apps is bigger and more crowded than ever before. Experts tell CIO.com why the market is bustling now, where it’s heading and why Slack now faces stiff competition.
The “first 100 days” is a famed transition period for new U.S. presidents. However it's also a valid time frame for almost any senior leader to lay the groundwork for success. A leader’s competence and effectiveness are often examined at the end of his or her first 100 days on the job, just as presidential administrations are scrutinized for their work and progress during that same perio. This article is the first installment in a two-part series that describes what new chief digital officers have to get right… from the start.
Boston University professors have quantified the value of APIs, the software fueling digital platforms for the likes of Apple, Facebook, Google, Uber and Airbnb. However, few companies recognize the value of APIs.
When companies evaluate new systems, they often fall into the trap of creating a list of requirements based on how they work today, not on the outcomes that they want to achieve. Here's a look at three common pitfalls, with suggestions on how to avoid them.
Analytics, like history, is about what facts mean. At the enterprise level, analytics is a negotiation about what facts mean. We ”mine data” but we don’t ”mine facts.” We employ ”data scientists” not ”fact scientists.” The strategic CxO is an arbiter of truth for the enterprise.
Deciding to do something and doing it are two very different things. This is one of the very significant issues associated with IT-led transformation. How can a CIO nudge an organization to move beyond the status quo?
Increased commoditization drives leaders to search for uncontested markets with the desire to make the competition irrelevant. Blockchain is creating blue oceans — industries that are not in existence today.
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