These days, talking to a bot is commonplace. Think Siri, or your chatty banking app. But you wouldn't talk to your toaster like you talk to a friend -- unless your toaster had a great sense of humor. These days, talking to a bot is commonplace. Think Siri, or your chatty banking app.

Fresh advancements in IT can target a number of factors, these may include fluidity and navigation, storage and security, costs and resources, aesthetics and customer engagement - broadly speaking, making things much better. Yet with such advancements, comes a great responsibility, not only for the end-consumer adopting new tech but the IT professionals who have to make it happen! The onus is on them to learn new skills in order to support contemporary applications and maintain or upgrade their performance when required. Keeping up to date with the latest technology has never been so poignant for IT professionals. If there's a demand from commercial settings to harness the latest things, then there's a natural calling for people to install, maintain and enhance them.

Scavenger hunts just got significantly more tactical with Descartes Labs' new GeoVisual Search. Finding shipping containers, runways and even parking lots on a global scale is no problem with the free tool made available today. Descartes Labs is a geospatial analytics startup based in Los Alamos, New Mexico. The company specializes in analyzing satellite imagery and other global data with machine learning to power predictive analytics for agriculture and other key industries. Users can scour the earth's surface by placing a provided bounding box around any object they would like to search for.

From being the preserve of sci-fi movies, artificial intelligence has suddenly burst through into the mainstream. Once a subject only discussed in universities or by data scientists, artificial intelligence has become the'must-have' of 2017, with companies across all sectors investigating how it can be incorporated into their business models. The advertising industry, which has long prided itself on being agile and forward thinking, is one of the first sectors to bring AI into its product offerings. The amount of data available to those working in digital advertising – particularly mobile advertising – is what gives AI so much potential in this area. Artificial intelligence thrives from large amounts of data, without data it cannot build models or test its assumptions.

According to the Office for Budget Responsibility, the NHS budget will need to increase by £88billion over the next 50 years if it is to keep pace with the rising demand for healthcare in the UK. But with the 2017 Budget showcasing a massive leaning towards building up its Brexit reserves and allocating a mere £100 million for 100 onsite GP treatment centres in A&Es across England, the NHS is justifiably bracing itself for a painful future. With £20billion worth of cuts scheduled by 2020, combined with fierce warnings that the UK's health services are on the edge of an unprecedented crisis, the urgent call for solutions to be brought to the healthcare table has incontrovertibly intensified. With deep cuts looming, it's time to properly consider how Artificial Intelligence can answer this call and shed light on how its technologies could provide the healthcare industry with some much-needed respite and real solutions to meet the ever spiralling rise in demand for healthcare. The issue of voluminous data that draws relentlessly on healthcare professionals' resources is something that could benefit significantly from the implementation of an AI-based system.

Using a combination of machine learning and advanced risk analysis, Google has updated its system to detect user habits without dedicated interaction. When you arrive on a web page, the controls should disappear and serve the relevant content. However, if you do trip Google's risk analysis algorithms, you may need to quickly solve one of the search giant's puzzles. While the new system is invisible, it will still consider variables like your IP address and the movements of your mouse. Google says its technology will "actively consider a user's engagement with the CAPTCHA -- before, during, and after -- to determine whether that user is a human."

Each year in the United States, more than 40,000 people die by suicide, and from 1999 to 2014, the suicide rate increased 24 percent. You might think that after generations of theories and data, we would be close to understanding how to prevent self-harm, or at least predict it. But a new study concludes that the science of suicide prediction is dismal, and the established warning signs about as accurate as tea leaves. There is, however, some hope. New research shows that machine-learning algorithms can dramatically improve our predictive abilities on suicides.

At Flickr, we understand that the value in our image corpus is only unlocked when our members can find photos and photographers that inspire them, so we strive to enable the discovery and appreciation of new photos. To further that effort, today we are introducing similarity search on Flickr. If you hover over a photo on a search result page, you will reveal a "…" button that exposes a menu that gives you the option to search for photos similar to the photo you are currently viewing. In many ways, photo search is very different from traditional web or text search. First, the goal of web search is usually to satisfy a particular information need, while with photo search the goal is often one of discovery; as such, it should be delightful as well as functional.

Thank you for subscribing to the monthly THINK Marketing newsletter. Surely, both are struggles, but at least the alarm clock is anticipated. The way we manage our customer experience isn't all that different. Whether launching a test environment, integrating a third-party app into your checkout process, or monitoring a known bug in your mobile application, some online struggle is anticipated. It's the unanticipated struggle, however, that really causes the pain.

New Delhi [India], Mar 10: Global leader in digitally-powered business process management and services Genpact has launched its Artificial Intelligence (AI) Reporting solution that harnesses the power of AI technologies to automate financial planning and analysis (FP&A) operations and drive more timely, insightful reporting. CFOs have fast, seamless access to both internal and external data sources like never before, driving more accurate forecasts for quicker, smarter business decisions. Based on multiple studies including a study done jointly by the Genpact Research Institute and HfS Research, CFOs across the board struggle with three challenges in providing actionable insights to their business leaders, including the ability to get relevant disparate data from internal and external sources; delay and the effort it takes for their teams to manage and do basic analysis on that data, reducing its relevance and leaving little scope for predictive analytics and business insight value adds; and lack of reporting mechanism that creates the user experience for business leaders to use that data to drive real time actions. Genpact's cloud-based AI Reporting solution uses advanced digital technologies to help enterprises reimagine the end-to-end financial reporting process. By integrating structured and unstructured data from internal and external sources, and automating reporting processes with predictive analytics, natural language processing and generation, and machine learning, the solution drives greater agility to adapt to new business requirements.