After all, Turck suggests, big data is characterized by situations involving vast quantities of rapidly expanding data volumes; we puny humans can’t be expected to lasso meaning from all this without some help from AI-based minions. A lot of this makes sense when looked at from an “early adopter/late adopter” perspective. Data intensive “digital native” companies (e.g., Google, Amazon, etc.) have been in the forefront because they’re already data-centric. Less “resistance” means faster adoption by them, right? While I have to defer to Turck on the basis of his understanding of the technological landscape, a lot of this discussion has a very familiar ring to it.
Lawyers are embracing technology that makes them more efficient and less trapped in 100-hour work weeks but that also reduces the need for them in certain types of cases or turns their counsel into a commodity. These technologies and services include a Web platform that searches patents more quickly than lawyers can, an app to find flaws in contracts, low-cost access to ask legal questions and an arbitration network to keep from having to hire legal representation to go to small-claims court. Attorneys from across the country heard about these at the recent LegalTech conference where some of the attendees indicated that the innovations could save money for law firms and even change their hiring practices by cutting the need for full-timers.
Some technological developments are convenient for the rest of us but godsends to visually impaired people: Amazon reduces store visits. Uber provides transportation. Audible allows access to a selection of books and articles that vastly outstrips the audio and Braille sections of even a big city library. Most importantly, the next generation of assistive technology should change visually impaired people’s relationship with information, according to Asakawa. Personal technology allows data to be poured into the minds of the sighted, without realization or effort, through devices that have become as taken-for-granted as fingers and toes. But visually impaired people “always have to be active very active to get information,” she says. “It never just comes to us.” And the blind never take a walk just to clear their minds, says Asakawa. It takes a lot of mental energy just to get around.
Agile testing is testing in an agile context. The testing doesn’t change when we adopt agile, but the context changes. Some of the differences in agile testing are that by using an iterative approach the lead time for preparing, executing and reporting tests becomes shorter and that change will be a common thing. Also there is a change in roles, Schoots mentioned that as a test manager using agile he became more of a coach and was doing less testing. Rapid testing is a mind-set and a skill-set of testing said Schoots. With rapid testing there will be less documents and the focus on how to do testing increases. Rapid testing is a general testing methodology, not only for agile but suitable for any kind of project or product. Testing is about people working together in conditions of uncertainty. We can’t know everything and things will change.
By educating all IT staff members on the importance of compliance frameworks, a company can improve its audits and better, they can actually reduce risk by having everyone in IT on board to counter the dynamic threats we are all exposed to every day. The IT department can and should play a key role in responding to IT audits, audits that are there to assure the company meets this minimum standard that is the foundation for security. One excellent framework to learn is the NIST Cyber Security framework. This particular NIST framework is the result of executive order 13636,”Improving Critical Infrastructure Cybersecurity” issued by the President of the United States. This was of course in response to the many data breaches that are hurting our country and its economy.
Word's AutoText feature lets you store text and graphics to insert later. Any content you include regularly is an AutoText candidate. Once you create the entry, you can insert the entire element instead of retyping it. AutoText is similar to AutoCorrect, which replaces commonly misspelled words automatically. But AutoText goes beyond the AutoCorrect feature by storing formatting, line breaks, and even graphics. It's AutoCorrect, but more. Although AutoText can make you more productive, many users don't know about it. In this article, I'll show you how to create and insert an AutoText entry. Then, I'll show you several ways to use this feature that you might not think of yourself. I'm using Office 2016 on a Windows 10 64-bit system, but these tips will work with Word 2003 and later.
Getting there requires you to target specific outcomes. While those outcomes should include soft goals like “better alignment with the business,” be sure to include hard outcomes, such as target metrics around defects, deployment frequency, and deployment-to-production success rates. And don’t miss the importance of speed over cost. ... “There are a whole bunch of very different techniques we use in order to optimize for speed, including the use of small, cross-functional teams that can independently deploy value to the customer without having to rely on hundreds, or even thousands, of other people,” Kim says. “When you optimize for speed, you’re willing to do all sorts of things—cultivate internal talent, pay engineers better and send them to conferences—that you would not necessarily do if you were optimizing for cost.”
"We have a broad surface area of old, outdated technology that's hard to secure, expensive to operate and, on top of all that, the skill sets needed to maintain those systems are disappearing rather rapidly," Tony Scott, the U.S. chief information security officer, said during the briefing. The fund requires approval from the U.S. Congress. Much of the plan could be initiated using the president's executive authority, Daniel said, but the administration plans to work closely with Congress. "This plan really is as aggressive as we can get under existing authority, and we can do quite a bit of it without the additional resources," he said.
Organizations need to use data and information technology better to streamline analytics. Our research suggests that they will need to invest in data preparation for analytics, as three out of five (62%) participants identified accessing and preparing data as a challenge in their predictive analytics process. The same percentage (62%) cited accessing and integrating data as a main reason for dissatisfaction with their analytic processes. Organizations can address some of these challenges in gaining access to information by virtualizing data. We also will follow the progress of organizations in using cloud-based technologies to help streamline their analytics;
Quote for the day:
"Adaptability is about the powerful difference between adapting to cope and adapting to win." -- Max McKeown