Here's how we see it at Ladder -- Historically, marketing has been predominantly driven by guesswork and luck based on what marketers think or have heard/read works best. Over the years since we started Ladder, we've been working to remove that guesswork from growth, bit by bit. In 2016, we built a proprietary test management platform to empower our growth strategists to build and execute marketing experiments – a drag-n-drop sprint builder that allowed for full transparency into what marketing tests are live, paused, off, or yet to launch… as well as the hypothesis, performance notes, and assets in play (creative, messaging, audience). This was the foundation needed for our eventual recommendation engine. In 2016 we also built and released the world's largest database of growth marketing tactics.

The advent of next generation technologies and the growing movement to be'Digital Ready' has resulted in rapid adoption of latest technologies in the business landscape of several organizations. The IT constitution of the organization needs to be in sync with this motion so that a holistic approach towards technology changes can be enabled. DRYiCE has carved out sate of art software products which ensure that your IT Ops is in sync with your technology strategy. Our exclusive products and platforms help enterprises operate in a leaner, faster, and cost-efficient manner while ensuring the achievement of business outcomes. We are sponsoring the Gartner IOCS Conference in Las Vegas at platinum level this year.

Quill is an automation platform developed by a Chicago-based company Narrative Science. Quill helps in financial reporting with natural language generation (NLG), an AI technology that converts your data into plain English to make you understand the insights in simple words, just like a human data analyst would do in your company. Quill also understands the most relevant part of a report from past records and tries to give the reports in similar words, sentence length, and structure to make it legible for non-technical people. It saves significant time for the enterprises analyzing data and creating hand-written summaries and reports.

In the last two months, i.e. in April and May 2019, both the EU Commission and the OECD published guidelines for trustworthy and ethical Artificial Intelligence (AI). In both cases, these are only guidelines and, as such, are not legally binding. Both sets of guidelines were compiled by experts in the field. Let's have a closer look. "Why do we need guidelines for trustworthy, ethical AI?" you may ask.

In the last two months, i.e. in April and May 2019, both the EU Commission and the OECD published guidelines for trustworthy and ethical Artificial Intelligence (AI). In both cases, these are only guidelines and, as such, are not legally binding. Both sets of guidelines were compiled by experts in the field. Let's have a closer look. "Why do we need guidelines for trustworthy, ethical AI?" you may ask.

Right now, Artificial Intelligence is the massive technological boom that redefines the way we think, the way we live and do business. Having no geographical boundaries, ai tech almost guarantees success for all aspiring startups. Is it so, and what makes top AI companies so successful? Let's analyze the current state of market today and find an answer. If you want to stay on top of things concerning AI technology today just take a look at the most recent state reports from the AI Now Institute at New York University and the annual AI Index from the Palo Alto initiative group.

SoftBank Corp. and the University of Tokyo have agreed to open artificial-intelligence centers staffed with specialists from the university and around the world, to swiftly turn research into profitable business ventures so Japan can keep up with the U.S. and China. "If they are stuck with research … their funds and passions will drain away," SoftBank Group CEO Masayoshi Son said at an event announcing the joint project at the prestigious university. "By teaming with the University of Tokyo, we want to give students a chance to learn and start a business," said Son, who has stressed the importance of AI for years. Under the arrangement, a pair of facilities -- one on the university's Hongo campus in Bunkyo Ward and the other at a planned new SoftBank office in the Takeshiba district -- will be established in spring and winter of 2020 at the earliest, respectively, under the brand Beyond AI. The Hongo base will handle basic research on the evolution of AI and potential ways to apply the technology in physics, robotics, brain science and other fields.

What comes to mind when you hear the words Artificial Intelligence (AI)? Not too long ago, this phrase was reserved for talking about an imagined distant future where humans had robot servants and self-driving cars. This is the world we live in today. We have personal assistants like Siri to answer any of our questions, Tesla's that can get us from point A to B while we sleep, and endless filters on Snapchat that can transform our appearance instantly. The age of AI is here.

Intel is in advanced talks to buy AI chip developer Habana Labs for as much as $2 billion, according to an unnamed source that spoke to Calcalist. Habana Labs is based in Israel. Intel bought Mobileye, a company focused on autonomous driving also based in Israel, in 2017 for $15 billion. Intel wouldn't comment on the possible transaction, and Habana Labs did not respond to a request to comment. The company was founded in 2016 to develop processor platforms for training deep neural networks and inference deployment.

Researchers, entrepreneurs, and policy-makers are increasingly using AI to tackle development challenges. In other words, using AI for a greater good is a real thing. However, it is becoming clear that AI poses as many threats as benefits, although the former ones are usually neglected. I do not want to get into trust, accountability, or safety issues in this short piece (if you want, here there is more), but avoiding the negative effects of AI is why incorporating a set of ethical principles into our technology development process is so paramount. Ethics plays a key role by ensuring that regulations of AI harness its potential while mitigating its risks (Taddeo and Floridi, 2018) and it would help us understand how to use responsibly the power coming from this technology.