Shamayita Acharya

In the not-so-distant past, artificial intelligence was the stuff of science fiction movies and novels. Not so anymore. The groundbreaking technology has kick-started a fresh wave of technological innovation and it sweeps across every sector. As the digital landscape has been the most influenced by artificial intelligence, digital marketing is not exempt, especially SEO. More marketers and SEO experts report adopting AI tools and methods to outperform their competitors. That is inevitable, since search engines, led by Google triggered the wave of AI changes in SEO. The best advantage of AI in SEO is how it makes it easier to work at scale. Some impacts on different aspects of SEO are examined below. Search The most obvious manifestation of AI in SEO is in how it is changing how search queries are processed. Google itself has released major AI updates to its algorithm for text-based searches. Likewise, AI has tremendous impacts on voice searches, which are inc...

Hello there! In this article, we will be looking into how artificial intelligence is capable of revolutionizing the beauty industry. AI is a trendy development that initially began in data science and had the limitless potential to the applications of technology, especially in beauty product marketing. The beauty industry is no longer a single niche that remains a favorite among the ladies. Thanks to influencers such as Jeffree Star and Kylie Jenner, beauty products such as cosmetics have become a multi-billion dollar industry. From nail art, contour, makeup, eyeshadow and eyeliner - the beauty industry is on fire with millions of products being sold all across the world. Let us look into the various ways AI systems have revolutionized the beauty industry in a multitude of different ways: Personalizing recommendations AI systems are hugely beneficial, especially for enhanced observed trends, in the datasets. It is currently able to help it become mobilized, especially with beauty...

DDMRP, which is also known as Demand Driven Requirements Planning is an innovative method available to plan both inventories as well as materials. This can provide a large number of benefits to a company. That’s because a company that adhere to DDMRP will be able to offer products to the market and cater the specific requirements that exist in it. In the meantime, it is also possible to make better actions and decisions at the time of planning as well.Five components of DDMRPWhen you deep dive and take a look at Demand Driven Requirements Planning, you will be able to discover five main components in it. These are sequential components. This sequence and the relationship that exist in between the element refers to position, pull and protection.Here’s a quick overview of the five components:- Strategic inventory positioning This is where you come up with the decision to decouple the points that are placed.- Buffer profile and levelsWhen it comes to buffer profiles and levels, you can fi...

The Zero Trust Model of information security simplifies how information security is conceptualized by assuming there are no longer “trusted” interfaces, applications, traffic, networks, or users. It takes the old model— “trust but verify”—and inverts it, because recent breaches have proven that when an organization trusts, it doesn’t verify [6]. This model requires that the following rules be followed [6]: All resources must be accessed in a secure manner. Access control must be on a need-to-know basis and strictly enforced. Systems must verify and never trust. All traffic must be inspected, logged, and reviewed. Systems must be designed from the inside out instead of the outside in. The zero-trust model has three key concepts:   Ensure all resources are accessed securely regardless of location. Adopt a least privilege strategy and strictly enforce access control. Inspect and log all traffic. “Outside-In” to “Inside-Out” Attacks According to a Forrester ...

With the adoption of artificial intelligence in many businesses, testing practices are on the verge of revolution, especially in terms of test case management, test design, and test case execution. Artificial intelligence is often defined as the science and engineering of creating intelligent machines that can display intellectual behavior. The integration of artificial intelligence in software development and testing practices improves the accuracy and quality of the end product while reducing the efforts and the invested time. When it comes to test case management, the AI-based solutions have the ability to create test cases, select the most adequate case to execute, and also recommend the best testing strategy by taking into account all variables and scenarios. By assimilating proficient test case management tools and AI-based solutions, the teams are able to analyze the results and derive actionable insights for future use as well. Machine Learning Application in Test Case Mana...

By Deb Borfitz, Senior Science Writer Researchers at Vanderbilt University Medical Center are using a novel, data-driven “target trial” framework to investigate the efficacy and safety of medicines in pregnant women, who are underrepresented in randomized controlled trials (RCTs). The approach leverages observational data in electronic health records (EHRs) to spot connections between real-world drug exposures during pregnancy and adverse outcomes in the women’s offspring—an exercise that can be expedited with commonly used AI machine learning models like logistic regression. So says Vanderbilt undergraduate student Anup Challa, founding director of the investigative collaboration MADRE (Modeling Adverse Drug Reactions in Embryos). The group works in the emerging field of PregOMICS that applies systems biology and bioinformatics to study the efficacy and safety of drugs in treating a rising tide of obstetrical diseases. Partnering institutions are Northwestern University, the Nation...

By Berge Ayvazian, Senior Analyst and Consultant at Wireless 20/20 The major US mobile operators are all deploying their 5G networks in 2020, and each one claims that AI and machine learning will help them proactively manage the costs of deploying and maintaining new 5G networks.  AT&T recently outlined the company’s blueprint for leveraging artificial intelligence and machine learning (ML) to maximize the return on its 5G network investment.  AT&T’s Mazin Gilbert sees a “perfect marriage” of AI, ML and software defined networking (SDN) to help enable the speeds and low latency of 5G. AT&T is using AI and ML to map its existing cell towers, fiber lines, and other transmitters that today, to build its 5G infrastructure and to pinpoint the best location for 5G build outs in the future. AT&T has more than 75,000 macro cells in its network and is using AI to guide plans for deploying hundreds of thousands of additional small cells and picocells. If AI detects a...

By AI Trends Staff AI techniques are being applied by researchers aiming to extend the life and monitor the health of batteries, with the aim of powering the next generation of electric vehicles and consumer electronics. Researchers at Cambridge and Newcastle Universities have designed a machine learning method that can predict battery health with ten times the accuracy of the current industry standard, according to an account in ScienceDaily . The promise is to develop safer and more reliable batteries. In a new way to monitor batteries, the researchers sent electrical pulses into them and monitored the response. The measurements were then processed by a machine learning algorithm to enable a prediction of the battery’s health and useful life. The method is non-invasive and can be added on to any battery system. The inability to predict the remaining useful charge in lithium-ion batteries is a limitation to the adoption of electric vehicles, and annoyance to mobile phone users. C...

By Lance Eliot, the AI Trends Insider An exasperating situation exists about the nature and scope of self-driving driverless autonomous cars. The existing published standard that depicts the automation levels has become a well-worn and oft-cited cornerstone to discussing and understanding the aspects of self-driving cars. In a sense, that is quite handy, and we can be thankful that a standard exists, albeit the mutterings and outright complaints by some insiders regarding the weaknesses and warts of the standard (more on this in a moment). Unfortunately, despite the good facets of having such a standard, the levels are often mistakenly portrayed in the news and other media outlets. This creates confusion. Lots of it. In addition, this then confounds efforts to compare the various experimental tryouts underway on our public roadways, and pretty much messes with the minds of the regulators and the public-at-large about what a self-driving car does or ought to do. I’d like to tak...

By John P. Desmond, AI Trends Editor AI was already having an impact in healthcare before COVID-19 came along. Now the impact of AI in healthcare is accelerating. A harbinger of the impact of AI on the spread of COVID-19 came on New Year’s Eve for 2020, when the AI platform Blue Dot registered a clutter of unusual cases in Wuhan, China. The Toronto-based company uses natural language processing and machine learning to track, locate and report on infectious disease spread. It sends alerts to its clients, which include entities in health care, government, business and public health. It had spotted what turned out to be COVID-19, nine days before the World Health Organization released an alert on the emergence of a novel coronavirus, noted a recent account in Wired . Since then AI has been used for prediction, screening, contact alerts, faster diagnosis, automated deliveries, and laboratory drug discovery in the fight against the coronavirus. One example is an AI-powered diagnostic s...

A topic of growing importance, Marketing analytics, plays a crucial role in identifying business opportunities and improving operational excellence. At a time, when the value and power of data is tremendous, marketing analytics is important for marketers, more than ever before, to overcome their challenges and benefit from big data. As a matter of fact, the global marketing analytics market is expected to reach $5.52 billion by 2025 (Verified Market Research). What is marketing analytics? Marketing analytics is the practice of measuring, managing, and analysing the marketing efforts from various data sources like social media, emails, events, websites, blogs, etc. Marketing analytics is crucial as it provides a holistic view of the performance of the marketing activities of an organization. Why is it important? According to Forbes, companies that don’t make data-driven decisions in marketing and sales are losing a 15-20% increase in marketing ROI. Data and marketing analytics can e...

Data is a gold mine in the hands of insurers and using it the right way is what significantly changes the game of competition in the insurance industry. Some researchers predict that the power of Big Data in the insurance spectrum is yet to unleash itself in all its energy. Moving towards it, the insurance incumbents are finding ways to transition unstructured data into meaningful insights that help them with decision-making more efficiently with the risk measures constantly changing and evolving.Insurance Data Analytics is one of the ways forward for insurers, underwriters, and risk managers to ace the decisions of premium and risk calculation. The internet has widened the scope of data like never before and the unstructured data available even on social media could be of great importance to insurers. But to leverage the right data into relevant insights, insurers need to access the Big Data, this is where the power of insurance technology comes in. Insurance Technology is making stri...

Managing today’s supply chains is extremely complex. For many products, the supply chain can span over hundreds of stages, multiple geographical (international) locations, a multitude of invoices and payments, have several individuals and entities involved, and extend over months of time. Due to the complexity and lack of transparency of the current supply chains, there is high interest in how Blockchains might transform the supply chain and logistics industry. [2]This interest rose from the long list of issues with current Supply Chain Management (SCM) including [1]: · Difficulty of Tracking· Lack of Trust · High Costs: procurement costs, transportation costs, inventory costs and quality costs· Globalization Barriers Blockchain and SCMBlockchain technology and supply chain management systems were built for each other in many ways. In fact, several of the flaws of the current supply chains can be easily relieved by using Blockchain technology. Supply Chain Management (SCM) is one of th...

Virtualization and Cloud Computing are two technical terms that are often used together. In most cases, IT personnel often tend to get confused between these two! Even though these two technologies might sound like they are similar, but these can’t be interchanged. Their difference holds enough potential to affect one’s key business decisions. In this article, we shall learn the scope these two technologies have along with their associated benefits.VirtualizationWhenever a user creates a virtual environment, it is known as Virtualization. In Virtualization, the physical infrastructure is separated for forming multiple dedicated resources. It allows users to run various OS simultaneously on a single system. Virtualization is the underlying technology behind Cloud Computing. But, important to note, Virtualization doesn’t mean Cloud Computing! System VirtualizationSystem virtualization refers to creating multiple systems within a single system and is usually implemented using hypervisor t...

By AI Trends Staff   The insurance industry is dominated by massive national brands and legacy product lines that have remained largely unchanged for decades. It is a staid industry. This makes the industry ripe for disruption by new technologies and approaches, especially those enabled by AI.   Venture capitalists see an opportunity and are investing. New York-based Lemonade, started in 2015, has attracted $480 million in funding so far, according to Crunchbase. Lemonade, which started in homeowner and renter’s insurance, recently filed to go public. Released financial information shows the company has a way to go to become profitable.   Auto insurance, which makes up more than 40 percent of the overall business, is likely to shrink as self-driving cars come onto the roads and fulfill their promise of making driving safer, suggested a KPMG report in 2015. The consultants predicted the auto insurance market will shrink 60 percent over the next 25 years.  ...

What is GPT-3? In February 2019, the artificial intelligence research lab OpenAI sent shockwaves through the world of computing by releasing the GPT-2 language model. Short for “Generative Pretrained Transformer 2,” GPT-2 is able to generate several paragraphs of natural language text—often impressively realistic and internally coherent—based on a short prompt. Scarcely a year later, OpenAI has already outdone itself with GPT-3, a new generative language model that is bigger than GPT-2 by orders of magnitude. The largest version of the GPT-3 model has 175 billion parameters, more than 100 times the 1.5 billion parameters of GPT-2. (For reference, the number of neurons in the human brain is usually estimated as 85 billion to 120 billion, and the number of synapses is roughly 150 trillion.) Just like its predecessor GPT-2, GPT-3 was trained on a simple task: given the previous words in a text, predict the next word. This required the model to consume very large datasets of Internet te...

There is no doubt that the artificial intelligence (AI) phenomenon will have a profound impact on businesses large and small this year; that part is easy to predict. What impact it will have, and whether this is a good or a bad thing, is harder to tell. Let’s start with the basics of AI. In their PwC briefing, Chris Curran and Anand Rao explained it this way: “In our broad definition, AI is a collective term for computer systems that can sense their environment, think, learn, and take action in response to what they’re sensing and their objectives. Forms of AI in use today include, among others, digital assistants, chatbots, and machine learning.  AI Works in Four Ways AUTOMATED INTELLIGENCE Automation of manual/cognitive and routine/non-routine tasks. ASSISTED INTELLIGENCE Helping people to perform tasks faster and better. AUGMENTED INTELLIGENCE Helping people to make better decisions. AUTONOMOUS INTELLIGENCE Automating decision making processes without human in...

Small businesses have started to realize how important data is for understanding their companies. Entrepreneur notes that data analytics can make a significant impact on business operations by driving sales. However, data analytics goes deeper than that. With the right implementation, data analytics can potentially speed up a company's processes. In this article, we'll look at four data shortcuts that can benefit small businesses in a big way that managed service providers (MSPs) should be offering to their small enterprise clientele.1. Cloud ComputingCloud adoption by small businesses is increasing every year. Right Scale notes that 84% of all enterprises utilize the cloud for their daily operation. Offering cloud services as a service provider opens doors for small businesses, allowing them to speed up their data processing and collection immensely. Cloud computing, combined with emerging technologies such as IoT devices, can help enterprises to scale effortlessly, only payin...

By AI Trends Staff Expectations for customer service are higher today than a year ago, with the coronavirus pandemic fueling online shopping and challenging enterprise customer service operations, according to Customer Thermometer . That puts companies offering automation solutions in the right place at the right time. Directly of San Francisco, cofounded by Antony Brydon, Jean Tessier and Jeff Patterson, offers a platform to integrate into call centers and provide a mix of automation and human support. Directly recently added $11 million in funding to bring its total investor commitment to $66.8 million, according to Crunchbase. The Directly platform is trained by thousands of subject matter experts to analyze call center interactions and provide a degree of automation, according to a recent account in VentureBeat. The platform is designed to integrate with other customer relationship management platforms, including Microsoft’s Bot Framework, the Einstein Bot from Salesforce, an...