which is designed to show if the viewers of your site or online

which contain frequently used static IPs — such as ones for a home or office — and a street address for that person or household.

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Attribution is one of those services that seems to take place inside a black box, where all kinds of algorithms make all kinds of assumptions.

To help make the box less obscure, Andover, Massachusetts-based Semcasting is out today with The Attributor, which it describes as the first self-service deterministic attribution platform.

The platform, CEO/founder Ray Kingman told me, is transparent about its processes, and it makes clear when matches are made and when not. The company has been offering this process as a professional service for the last year, and now it’s available in a self-service platform with usage pricing.

How it works. The company specializes in audience targeting via IP address, and that’s a key element of The Attributor, which is designed to show if the viewers of your site or online ad made a purchase or took some other desired action.

Kingman suggested the following typical use case for The Attributor.

Let’s say AutoTrader.com wants to determine which car buyers went to its site, so it can show a possible causal connection to auto dealerships that advertise on AutoTrader. In addition to web site visitors, each Study could also have up to four other audiences as the “base” for a match, such as emails or profiles in a customer relationship management system.

In the case of site visitors, Semcasting converts the web traffic logs from AutoTrader.com to street addresses of the web visitors. It does this by matching static IP addresses of visitors to its graph of user profiles, which contain frequently used static IPs — such as ones for a home or office — and a street address for that person or household.

If the IP is a dynamic one, such as used by mobile towers, the Semcasting platform collects time signals to determine the latitude/longiture of the towers, and it then can match the device ID that passed by those towers at that time, to the street address.

The Attributor is integrated with a variety of sales-oriented databases, such as the Dealer Management System that compiles all car sales in realtime. Through the Dealer Management System, the dealership in question provides a list of street addresses for all its car buyers in, say, the last month, and the match is made. Semcasting says it doesn’t keep any first-party personal data, such as the buyers’ names.

Other audience segments or “tactics” could also be employed to match the IP addresses of visitors to web sites or to those who were delivered ad impressions. These can include email addresses of prospects, purchases recorded in customer relationship management systems, or similar data. Once the data is onboarded, Kingman added, the platform does the rest.

He said the 85–90 percent match rate is about 70 to 80 percent accurate. If the IP address is for, say, an apartment building, the platform makes a probabilistic determination of the likely tenant, unless there is other data.

Why this matters.
Attribution helps to determine if your ad or other marketing spend has been effective for the desired outcome, such as purchases.

Probabilistic attribution makes a variety of assumptions and combines probabilities. By contrast, a deterministic attribution is more definite and can be more accurate, as it matches a persistent identifier like a street address. But deterministic attribution is usually conducted via a professional service, so a self-serve, usage-based platform can make this approach easier and less expensive.

What percent of individuals who received our CRM emails https://goo.gl/iiFHK6

The Truth About Global Trade and Logistics In a [Few] Little Words

Many terror organizations and networks use cyberspace to connect and establish networks and logistics companies to deliver their explosives.

Trade and logistics, despite its relatively recent development, has gone on to become a global one. It is one of the many industries that have benefited in immeasurable ways by the growth of technology and globalization. It is no exaggeration to say that trade and logistics has exploded following these developments.

First, a basic understanding of the two:

Global trade or international trade, as the term makes it rather simple to understand, is the exchange of commercial goods along international routes between nations. Along with goods, services and capital are also core components of international trade. Why do nations need to trade with each other? Simple: they benefit mutually from doing so. International is meant to counter the deficiency that a few markets may have by balancing this with its strengths which other markets may need.

Logistics has to do with the way in which these goods, capital and services are transported and managed efficiently. While international trade is about what is exchanged, logistics is the method by which this is done. The aim of logistics is to ensure smooth movement and conduct of international trade. The supply chain is at the heart of logistics. Since goods, services and capital cross international boundaries, logistics has to ensure that it happens in an organized manner without hiccups of documentation, security checks and other issues.

container ship in import export and business logistic.By crane ,

Logistics is also among the core aspects of the cost of international trade. Depending on the industry and the type of goods and services traded, it is estimated that logistics accounts for anywhere between a tenth and a quarter of the total cost of trade. This is why companies in international trade and logistics make every possible effort to reduce the cost of logistics.

Let us examine the other challenges of trade and logistics, which will open our minds to the truth about trade a logistics in a few little words:

Security

When explaining the truth about trade a logistics in a few little words, a proper starting point is the challenge relating to security. Many terror organizations and networks use cyberspace to connect and establish networks and logistics companies to deliver their explosives. This is a very serious challenge for the industry. Like governments, logistics organizations have to ensure high alert for each and every item they ferry across borders.

Uncertainties in operations

Another of the serious challenges for the trade and logistics industry is the shifting patterns in operations. The industry depends on fuel for delivering its goods. This commodity is governed by extremely volatile pricing. The costs can go awry within no time, impacting the profit margin.

In addition, customers are also exposed to a wide variety of choices for the products they buy. They can change their preferences in no time and with no cost obligations, further pushing pushing up the cost of operations.

Regulatory compliance

Being global in nature, trade and logistics crosses many national borders. Each country has its own regulations which have to be complied with. Lack of compliance results in unsavory issues like detention of goods or penalties. Staying compliant involves pretty high costs.

The outlook for the trade and logistics industry

In discussing the truth about trade a logistics in a few little words, let us examine the prospects for the industry in the years ahead:

Improvement in technology

Like any other industry, improvements in technology can make a very huge impact on the trade and logistics industry. Advancements in technology can automate the Transport Management System and streamline the goods tracking systems, which are already efficient in many organizations and are making the operations smoother. In addition, new technologies can be cloud-based, making them even leaner and most cost-efficient.

iot

Introduction of new means of delivery

In describing the truth about trade a logistics in a few little words, one cannot lose sight of another development that has the potential to bring about huge changes into trade and logistics: drones. Drones and autonomous vehicles are now being seriously talked about as vehicles that can reach remote areas more efficiently and deliver goods. While there are challenges in this method which is quite in an infantile stage, it has the promise to take trade and logistics to a higher level of efficiency.

Artificial intelligence and Internet of Things

Internet of Things is one among a few technologies that tech evangelists are talking highly about. It has very appropriate and well-suited uses in an industry such as trade and logistics. It can combine with AI and help to bring about a drastic improvement in the operations of a logistics company.

digital-age-960x425

Technologies such as these can help logistics companies completely revamp their stocks and procurement methods and bring down costs on these drastically over the long haul.

https://www.vskills.in/certification/tutorial/international-logistics/concept-and-objectives-of-logistics/

https://www.brookes.ac.uk/courses/postgraduate/international-trade-and-logistics/

https://www.tradefinanceglobal.com/posts/what-is-the-future-of-the-logistics-industry/

https://www.logisticsmgmt.com/article/top_8_logistics_challenges_facing_the_industry

The next big disrupter, conversational Artificial Intelligence {Voice search}

The digital assistants then engage directly with their corresponding search engine to tap into the knowledge graph as well as their specific knowledge repository to provide a response and an answer.

Within the search marketing space, there has been a lot of talk about voice search. Many are projecting voice search as the next big thing — in fact, as the next marketplace disruptor.

But the truth is, voice search probably isn’t going to be the next big thing. Yes, voice search is disrupting text-based searches, and this is causing a few raised eyebrows. However, voice is only a small part of the disruption that’s happening today.

I agree with the dissenting points of view that voice search isn’t the next big disrupter; because I believe that conversational AI is.

Conversational AI is what’s really disrupting and shifting the consumer behavior, and voice search is just a component of that bigger picture.

There, I said it.

Now, let’s talk about it. It’s hard to distinguish between voice search and voice-assisted engagements through digital assistance (aka conversational AI). So, my intention here is to outline the differences between these two entities and explain what you, as marketers, need to do to take advantage of both.

Voice search vs. conversational AI

When you think about voice search, it’s actually not that revolutionary. The AI-based technology of natural language processing that enables voice search is pretty awesome and amazing; however, voice search is just a mode in which people are engaging with search engines.

There are three ways that people can engage with the search engines. They can engage through typing or text, their voice or conversation, and through images. Voice search essentially involves doing a query using voice instead of text. That’s the only difference.

When we think about the difference between voice search and conversational AI (the voice assistance component) what’s important to recognize is that searches are continuously happening. It’s just how people are conducting the search that’s shifting and disrupting the marketplace.

Voice assistance is using your voice to engage with some sort of intelligent technology — like a digital assistant, a chatbot, or potentially even a voice skill — to ask a question and find an answer or to control other technology and the IoT.

Here’s the big differentiator: Instead of using Google, Bing, Yahoo, etc. directly, we are now asking questions of, and talking with, third parties like Alexa, Cortana, Google Assistant, Siri, and the like.

Those third parties are typically digital assistants that engage with our voice. So, nowadays, I say, “Hey, Siri”,“Hey, Cortana”, “Okay, Google” or “Hey, Alexa,” whenever I have a question or something I want information about.

The digital assistants then engage directly with their corresponding search engine to tap into the knowledge graph as well as their specific knowledge repository to provide a response and an answer. Search is the intelligence platform powering intelligent agents.

That’s conversational AI, and it’s changing the way people engage with search.

Say goodbye to the age of touch as the primary interface

What we are seeing with this, in terms of voice assistance, is a shift in how people engage, where the search results are coming from, and how that response is derived. As marketers, we are used to developing programs and marketing plans in an era where touch and screens are the primary user interfaces between consumers and devices.

“The age of touch as the primary user interface between consumers and devices is being disrupted. We’re entering the age of conversational interfaces that are powered by our voice and gestures.” — Me.

We’re entering the age of conversational interfaces powered by our voice, sometimes even our gestures if there’s an AR/VR technology component in place, and it doesn’t even have to involve a screen. Increasingly, these devices do have screens, but their job mostly involves listening and delivering a spoken response.

And as marketers, we have a real opportunity on the horizon.

Voice search — It’s all about position zero and owning your graph

When you type a query into a search engine, hundreds of options pop up. It’s different with voice. When people engage in a voice search using a digital assistant, roughly 40 percent of the spoken responses today (and some say as many as 80%) are derived from “featured snippet” within the search results.

In search speak, that’s position zero. When you are that featured snippet in an organic search, that’s what the assistant is going to default to as the spoken response. Siri, Google, Cortana and Alexa don’t respond with the other ten things that are a possibility on that search page. Just the one.

When you consider this, it’s clear why position zero is becoming really important, because, while you might be number two in the text-based searches, you’re getting little to no traffic if people are engaging with intelligent agents and listening to the spoken response.

The opportunity here is to become that position zero, so you can win the search and win the traffic. But how? It goes back to the best practices of organic search, basic SEO, and having a solid strategy.

It’s embracing schema markup and structured data within your website, so you are providing search engines with signals and insights to be included in the knowledge graph. It’s claiming your business listings so that the data is up-to-date and correct. It’s understanding the questions people are asking and incorporating that question and conversational tone into your content.

Simply put: It’s understanding the language your customers are using so that you can provide value and answers in their own words and phrases. So, let’s conclude with that.

Say goodbye to the age of touch https://goo.gl/MrnGaH

Natural Language Processing Applications in [Finance – 3 Current] Applications

The software then co-relates patterns in customer investment with market developments obtained by scouting news and social media to offer personalized investment advice to customers.

Natural language processing, or NLP, is one AI-based technology that’s finding its way into a variety of verticals. We covered the business applications of NLP in our previous report, and in this report, we intend to cover the technology’s applications in finance more extensively. NLP might allow a company to garner insights that can be used to assess a creditor’s risk or gauge brand-related sentiment across the web. We researched the space to better understand where NLP comes into play in the finance industry and to answer the following questions:

  • What types of NLP-based applications are currently in use in finance?
  • What tangible results has NLP driven in finance?
  • Are there any common trends among these innovation efforts? How could these trends affect the future of finance?

This report covers vendors offering software across three applications:

  • Credit Scoring
  • Sentiment Analysis
  • Document Search

This article intends to provide business leaders in the finance space with an idea of what they can currently expect from NLP in their industry. We hope that this article allows business leaders in finance to garner insights they can confidently relay to their executive teams so they can make informed decisions when thinking about AI adoption. At the very least, this article intends to act as a method of reducing the time business leaders in finance spend researching NLP companies with whom they may (or may not) be interested in working.

Credit Scoring

LenddoEFL

LenddoEFL is a Singapore-based company with 115 employees. The company offers a software called The LenddoScore, which they claim can help banks and financial institutions assess an individual’s creditworthiness using NLP and machine learning.

LenddoEFL is focused on allowing financial firms in developing countries offer loans and credit services to growing middle-class populations in these countries. In most cases, these customers have little to no credit history, and LenddEFL claims its software helps banks understand lending risks based on customer digital footprints.

shutterstock_1025089759

LenddoEFL claims users can download the Lenddo application on their smartphones, and the software uses NLP to comb through the user’s digital footprint, such as social media account use, internet browsing history, geolocation data, and other smartphone information. Then, LenddoEFL uses machine learning algorithms that convert this customer data into a credit score, which banks or credit unions can use. The system then provides their lending partners with the credit score for potential customers in their target audience.

Lenddo claims to have helped FICO develop their new FICO score services in India. FICO signed an agreement with Lenddo to allow them access to digital data (with the consent of consumers). LenddoEFL was then able to develop the FICO score for and extend credit to previously unscorable consumers without increasing risk of default. There were no measurable results we could find for this partnership.

We were unable to find any mention of enterprise-level companies on LenddoEFL’s website nor in any of their press releases, but they seem to have raised a total of $14M in funding and are backed by Blumberg Capital and OMIDYAR Network.

Naveen Agnihotri is Chief Technology Officer at LenddoEFL. He holds a PhD in Neuroscience from Columbia University Vagelos College of Physicians and Surgeons. Previously, Agnihotri served as a scientist at MIT and as CTO  at Milabra.

Sentiment Analysis

Sigmoidal

Sigmoidal is a company that offers a software which they claim can help banks by providing consultation, software development, development operations, and data tagging services using NLP and machine learning.

Sigmoidal also claims to have developed a trading software that uses machine learning to track patterns in how customers might spend, invest, or make financial decisions from their transaction history. The software then co-relates patterns in customer investment with market developments obtained by scouting news and social media to offer personalized investment advice to customers.

Sigmoidal claims investment firms can automate the task of mining for information on market developments from news sites and social media using their software, which can perform document classification and named entity recognition. Then, the software uses NLP to filter out the information that is most relevant to the investor’s needs. Sigmoidal claims that their software can also help extract details such as a person’s name and company from text in the collected data. The system then provides the collected data on a dashboard as shown below:

Sigmoidal does not make available any case studies reporting success with their software, but the company does claim to have worked in projects with NASA, DARPA, NVIDIA, Microsoft, PwC, Goldman Sachs, and Intel. That said, we could not find much public evidence of these collaborations.

Marek Bardonski is Head of Artificial Intelligence at Sigmoidal. He holds a bachelor’s degree in Computer Science from the University of Warsaw. Previously, Bardonski served as a senior deep learning research engineer at NVIDIA Switzerland for one month. That said, Bardonski is not a C-level executive at the company, and in fact, it is possible he serves an advisory role there, based on his LinkedIn profile, which lists him as an advisor for multiple companies at presents.

Marcin Mozejko is Principal Deep Learning Engineer at Sigmoidal. He holds an MS in Mathematics from the University of Warsaw, but again, he is not a C-level executive at the company.

Financial institutions can expect AI vendors to offer http://bit.ly/2yryqTA

Want an Easy Fix for Your Excel Spreadsheet [Techniques?] Read This!

It surprise that MS Excel is a superhit with a range of industries from finance and compliance and from teaching to sales?

Microsoft Excel is a wonder package, and in saying this, I am not exaggerating or taking sides with Mr. Gates’s developers. They have created a program that is so versatile and so tailor-made for just so many industries that you would wonder from where they got the idea to do this. I reckon they must have worked extensively with the industry closely in understanding its needs and implemented all the details with devilish diligence.

The MS Excel program is simply so exhaustive and comprehensive you would feel lost if you are not familiar with it. Once you gain an element of familiarity, it works wonders for most of your needs. Does it surprise that MS Excel is a superhit with a range of industries from finance and compliance and from teaching to sales? All that is needed is a bit of comfort in understanding MS Excel’s features to get to exploit the program to the limit.

So, do you want an easy fix for your MS Excel spreadsheet techniques? Read this!

Like I said, the uses of MS Excel are extremely varied and vast. So, if one were to write down want an easy fix for your MS Excel spreadsheet techniques, it would take a manual! Let me try to make your usage of MS Excel a little easier by offering you tips on a few key features of MS Excel:

Select all with one click

Often, I have noticed users finding it complicated to drag the arrow to all the areas they want to select in the Excel worksheet. I have myself sometimes lost patience with it! I discovered a very simple method of doing this (apart of course from using Control A): click on the arrow (half triangle) at the left corner of the row and you’re done!

Pivot Tables

Pivot Tables are a quick way of organizing an enormous number of varied and disparate data sets. It helps in areas such as getting to understand the exact number of units sold of a particular item in a shop and the amount earned from the sale. This feature helps to organize the data quickly, meaningfully and insightfully. All that is needed for an easy fix for your MS Excel spreadsheet techniques for Pivot Tables is this:

Report Filter: To create by rows by parameters such as, in this case, pack size, manufacturer, date of arrival of stock into the inventory and expiry date

Column Labels: Helps you give a name or label to the items

Row Labels: Enables you to supplement Report Filter by qualifying the labels from the columns and can be used in any manner that the user finds easy

Value: This is the actual calculating part of the tables. It does any kind of operation you want from it like multiplication of the values based on the units sold, minimum, maximum, average, sum and so on.

Removing duplicates

Some cells can carry duplicate content depending on what kind of data go into them. All that is needed to remove the duplicates is to go to select the row or column from which you want this done; go to Data, go to Tools and hit “Remove Duplicates”.

AutoSum

This is used to obtain the sum of different values in cells. Just go to the far-right corner and click on the AutoSum option. You will have the choice of sum, average, count numbers and so on. Once you set this, it will keep doing the summing up by itself.

Open many MS Excel files and shift between them

This is one hell of a feature from MS Excel! Once you have created different files in the usual file creation mode, just click on each of them and press enter. All files will open simultaneously. And then, if you want to alternate between any of them, keep hitting control tab, just like in MS Word.

Carrier with Excel If you Loose this now? https://goo.gl/bWxnnA

6 artificial flavorings with cancer-causing properties – (FDA bans)

The announcement from the U.S. Food And Drug Administration carries a yawn-inducing title: “FDA Removes 7 Synthetic Flavoring Substances from Food Additives List.” It sounds like a regulatory move aimed at food-makers, and it is. But it’s one that has a slightly alarming backstory: The FDA is effectively banning these artificial substances because they have been shown to cause cancer in animals.

Under a provision of the Federal Food, Drug, and Cosmetic Act known as the Delaney Clause, the FDA cannot approve ingredients for use in food that have been found “to induce cancer in humans or animals at any dose.” Six of the substances “delisted” (effectively, banned) by the FDA have been found to cause cancer in animals exposed to very high doses. The seventh ingredient was delisted because it is no longer used at all by the food industry, the FDA says.

The six other artificial flavorings — benzophenone, ethyl acrylate, eugenyl methyl ether, myrcene, pulegone, and pyridine — are now no longer permitted for use in food, even though the FDA states that previous testing found “they do not pose a risk to public health under the conditions of their intended use.” Eager to not incite any kind of a panic, the FDA is stating the animals that developed cancer did so after exposure to very high levels of these flavorings — much higher doses than any human would likely ingest: “The FDA is only revoking the listing of these six synthetic flavorings as a matter of law. The FDA has concluded that these substances are otherwise safe.”

This latest FDA mandate comes on the heels of two other moves away from non-natural ingredients: In January, Dunkin’ announced it would phase out artificially derived coloring in its products by the end of the year, and last month, McDonald’s pledged that it would remove all artificial colorings and preservatives from its classic burgers (minus those pesky pickles). Taken together, these individual developments suggest the movement away from artificial colorings, preservatives, and flavorings is gaining serious traction.

FDA Viral news related to Health every one has to know https://goo.gl/tVE3WP

This is How SOX Compliance will Look like in the [Future]

It is a lot easier to trace transactions today than they were a decade ago.

Formally known as the “Public Company Accounting Reform and Investor Protection Act” in the US Senate and as the “Corporate and Auditing Accountability and Responsibility Act” in the House of Representatives, Sarbanes Oxley (SOX) is a landmark legislation that the American Congress passed in 2002. Named for the sponsors of this Bill, senators Paul Sarbanes and Mike Oxley, it was passed in the wake of the financial scandals of huge American corporations that rocked the American economy, such as Tyco, Enron, WorldCom, Arthur Andersen and Global Crossing among others that shook investor confidence.

Effective from 2006, what SOX does is to mandate laws for strict accountability from firms that do business in the US. This included not only American, but foreign firms as well. The aim of SOX was to stipulate a broad and strong accounting framework for all companies that do business in the US. SOX consists of eleven sections. Among its most important provisions are the establishment of a Public Company Accounting Oversight Board (PCAOB) under the Security and Exchange Commission (SEC) and the designation of civil and criminal penalties for companies that are found to be noncompliant and violative of the provisions.

Making companies more accountable financially

The crux of the requirement is for companies to establish a framework for financial accounting which will enable them to generate thoroughly verifiable financial reports whose data source should be traceable. The data should also have electronic information of all details of access, such as who accessed what data, when it was done, what was done during the access, and what action was carried out.

Since SOX compliance is mandatory for most companies, how does it feel to comply with the provisions of this Act? If we are asked to speculate what SOX compliance will look like in the future, we need to look at it from the standpoint of technology. This is because technology is inseparable from accounting. Most transactions are electronic in nature. Technology has taken us to a point where manual recordkeeping and accounting are almost totally obsolete.

This is how SOX compliance will look like in the future

In this backdrop, prognosticating how SOX compliance will look like in the future is tentative. This is because of the changing nature of technology. Technology, as we are aware, keeps changing by the minute. As more technological advances are made, it is only natural to expect them to be incorporate into technology-dependent and technology-propelled activities that SOX requires. It is a lot easier to trace transactions today than they were a decade ago.

Technology, as we are all aware, is totally unpredictable. Even as SOX-compliant systems start getting used to a technology, updates and developments into it could trigger the need for more amendments. An unexpected development can throw the whole adaption process asunder.

Uniqueness which could make it the ultimate technology https://goo.gl/kNBRGA