Replacing an enterprise search technology, regardless of what it is, can disrupt an organization’s normal operations. Even if employees are dissatisfied — complaining every other day to IT about how slow it is or user unfriendly — the old system is familiar, and change can be difficult.
AI-powered search is delivering results for those using it, but we’re still just at the start of benefits the technology is truly capable of delivering. What’s more, companies that adopt early have a chance to run far out ahead by transforming themselves through innovation driven by artificial intelligence.
Financial services organizations know that failure to effectively monitor trade communications exposes them to a tremendous amount of risk. Whether the risk is driven by the dissemination of sensitive information, inappropriate employee behavior, or a violation of regulatory policies, it’s imperative that firms confidently mitigate these risks so they can protect brand value.This is the reality organizations face and why it’s so important to monitor communications proactively.
How many times have you switched your mobile phone service provider when the service or support was poor? How hard did that service provider work to keep you? It’s likely they didn’t try very hard. They have many customers, so losing one isn’t that big of a deal. But for companies that provide complex products like those in manufacturing, aerospace or oil and gas, a high-quality customer support program is critical. The question is, what does a quality customer support program look like?
Remember the Panama Papers? Those were the 11.5 million leaked documents detailing attorney–client information for more than 214,000 offshore companies associated with Mossack Fonseca, a Panamanian law firm that specializes in setting up offshore shell companies. Many of these companies were set up to “hide” money so wealthy individuals could evade taxes. Others seemed part of money laundering schemes.
In earlier blogs about the value of cognitive search for life sciences companies, we’ve focused on the role it can play in accelerating drug discovery and finding new therapeutic uses for drugs that have received FDA approval. The search technologies that help achieve those goals can also make life sciences sales and marketing smarter and more effective.
In the rush to keep up with customer demands, organizations are launching digital transformation initiatives without considering the effect these plans will have on employee productivity.
Why would strategies that improve customer experiences have a negative effect on employees? Because more often than not, they contribute to the growing silos of information spread across the organization. The very information that employees need to perform their jobs.
Customers often interact with brands across various media and channels. From the customer’s point of view, they’re interacting with a single brand, but inside the company, all that information is often scattered in different databases.
The corporate intranet remains the lifeblood of any major enterprise. Over the last decade it has emerged as a key location for ideas, documents and collaboration. But for many it can also be a frustrating morass of information that remains difficult to find, forcing people to rely on email or instant messages to trade ideas and documents.
As we’ve explained in many blogs and 5-minute guides, a cognitive search platform should combine AI technologies such as natural language processing, machine learning, and knowledge graphing to deliver a contextualized search and discovery experience without compromising security. Those technologies can turn ordinary search into something much more powerful and transformative for any organization.