Artificial Intelligence

Quickly gain actionable insights and identify key opportunities for growth

Becoming an agile organization will get you to your destination faster. To choose the right destination, you must make accurate decisions about which opportunities to pursue, based on reliable data.

We can improve your organization’s decision-making by automatically turning large amounts of data into clear, actionable insights using Artificial Intelligence and Machine Learning.

Artificial Intelligence Services

Gain a competitive advantage with data-driven insights powered by AI.

Big Data

“The problem is that, in many cases, big data is not used well. Companies are better at collecting data – about their customers, about their products, about competitors – than analyzing that data and designing strategy around it.”

– Harvard Business Review

Do you have a cloud strategy that collects and utilizes data to accelerate innovation, at the lowest possible cost?

Whether it’s internal or external data, we can help you collect, store, and analyze all the different types of data available to your organization. Once your data strategy is in place, the data you collect becomes a valuable asset that your organization can use to make better decisions and achieve faster growth.

Machine Learning

Simply having the ability to collect large amounts of data isn’t enough. You have to be able to actually interpret all that data in order to derive insights that can drive your organization forward.

In simple terms, Machine Learning is a form of Artificial Intelligence that quickly and automatically analyzes large sets of data, and then discovers patterns within that data that can be used to make accurate predictions about the future.

Machine Learning makes all types of data – transactional, operational, social – accessible to your various lines of business. By building precise models, an organization can identify profitable opportunities, or avoid unknown risks.

By leveraging the combination of access to more data, falling data storage costs, and greater computer processing power, we can help your organization quickly acquire accurate insights to improve decision-making and efficiency in all areas.

artificial-intelligence-machine-learning

Natural Language Processing (NLP)

Natural Language Processing (NLP) is a form of Artificial Intelligence that allows computers to read, hear, understand, and derive meaning from human language.

NLP gives computers the ability to understand both written communication (such as automated chatbots, auto-correct, and spam email filters), as well as spoken communication (such as Siri, Alexa, and other voice assistants).

NLP also enables those computers to communicate back to us, using our own language, and perform various commands we give to them, automatically.

By providing such seamless, two-way communication between humans and computers, NLP greatly reduces the need for human-to-human interaction. This makes all kinds of processes within organizations more efficient, and provides customers with fast, convenient, self-service options for retrieving information and getting questions answered.

Robotics

ZDNet defines a robot as, “a programmable machine that physically interacts with the world around it and is capable of carrying out a complex series of actions autonomously or semi-autonomously.”

The most obvious use of robotics for business purposes are automated machines that perform a specific tasks over and over to aid in manufacturing goods in large quantities. Robotic arms that assemble vehicles are just one, well-known example of this.

However, recent technological advancements in both hardware and software are giving robots powerful, new capabilities. The combination of cameras, sensors, Machine Learning, NLP, and increased dexterity means that robots are now performing many complex tasks. Robots can now use data to make decisions, learn how to perform new tasks by directly interacting with humans, and even drive vehicles autonomously.

Another example of robotics is the growing popularity of “bots”, which are computer programs that perform automated tasks and workflows. According to the recent State of Work survey conducted by ServiceNow, a full two days per week are wasted on manual, administrative work. If an organization with 5,000 people automated these time-consuming processes using bots, they would save 4 million work hours per year, freeing staff to work on much more creative, high-value tasks.

As robotics technology continues to improve, and costs continue to decrease, we can help your organization take full advantage of all the new capabilities and benefits that are now available to you.

Discover How Agile Methodologies Will Streamline The Way Your Company Operates

Enemy

Misinterpreting Market Trends Leads to Lost Market Share

Investing in the wrong opportunities can have major, long-term consequences.

In recent years, new technology has made data collection easier and cheaper than ever, increasing exponentially the amount of data available to organizations.

While the volume of data that organizations have at their disposal is larger than ever, few are utilizing this data to its full potential in terms of revenue and profit gains.

There are two major challenges related to leveraging data:

Inability to derive actionable insights from data

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Inability to derive actionable insights from data

Competing in the digital age requires the ability to glean meaningful insights from this data, spot risks and inefficiencies, predict market trends, and quickly tailor solutions to customers’ changing needs.

Unfortunately, most companies still struggle to collect the right kinds of data, derive actionable insights, and then deliver those insights to the right people in the organization who can use them to drive revenue and profit gains.

Misinterpreting market trends

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Misinterpreting market trends

Your organization can gain a huge competitive advantage if you are able to quickly and accurately predict market trends, identify new revenue streams, and anticipate product popularity. Being first-to-market with innovative products that best meets customers’ needs will lead to enormous gains in demand, revenue, and market share.

However, if you rely on guesswork or incomplete data, you risk investing heavily into the wrong technology and developing inadequate products that quickly lose relevance. Over the long-term, such missteps will inevitably lead to massive losses in market share.

THE SOLUTION

Agile Trailblazers Helps Your Organization Access
Automated Insights

Clear Strategy

In order to fully transform your organization into a digital leader, you must have a clear strategy for infusing intelligence into every area of your business.

Collective Expertise

With the collective expertise of our Agile coaches and trainers, we can help you navigate the challenges that come with organizational change, overcome resistance, and fully adopt Agile methods to increase efficiency and profitability in your organization.

Latest Advancements

In addition, we can help you take advantage of the latest advancements in robotics, Natural Language Processing (NLP), and automation technology to improve operational efficiency, meet customer needs faster, and maximize profits.

WHO BENEFITS

Who is Artificial Intelligence For?

Leadership / Executives

Leadership / Executives who realize the importance of data, AI, and automation for improving operational efficiency, customer satisfaction, and strategic decision-making.

Business Teams

Business Teams who are looking to cut costs, improve the customer experience, and create a competitive advantage through increased innovation.

Product Development Teams

Product Development Teams who need to predict trends, generate innovative ideas, and provide faster ways to meet the needs of customers.

INDUSTRIES

Artificial Intelligence Expertise In Your Industry

Financial Services
HealthCare
eCommerce
Government

Financial Services

The financial industry typically uses machine learning technology in two key areas: customer data insights and fraud prevention.

A typical use case is utilizing machine learning to assess consumer credit risk, and then trying to predict if a consumer is likely to be delinquent or defaulting on their credit card debt.

“Robo-advisors” are also disrupting financial services organizations in surprising ways. Robo-advisors almost entirely eliminate the need for human financial advisors. Robo-advisors now collect all of the customer’s financial information - including their financial goals and accepted level of risk - and then automatically output highly-accurate financial advice based on complex algorithms and large amounts of data. These robo-advisors can also automate the purchasing and management of investments based on predefined rules chosen by the customer.

Multiple forms of artificial intelligence are now being combined in order to make highly-accurate market predictions. AI is now sophisticated enough that it can evaluate public remarks from an organization (earnings calls, for example), and then analyze them using NLP to determine meaning, sentiment, tone, speech patterns, etc. This information, along with historical data, is then used to predict future stock performance to an astonishing degree of accuracy.

HealthCare

In June of 2018, a study in the Annals of Oncology showed that a convolutional neural network trained to analyze dermatology images identified melanoma with ten percent more specificity than human clinicians.

Separately, researchers at the Mount Sinai Icahn School of Medicine have developed a deep neural network capable of diagnosing crucial neurological conditions - such as stroke and brain hemorrhage - 150 times faster than human radiologists.

Due to the advent of wearable devices and sensors, machine learning is a fast-growing trend in the healthcare industry. Medical experts can now analyze data to identify trends or identify issues that may lead to improved diagnoses and perhaps preventative treatment.

Robotics technology will also continue to make a big impact on the healthcare industry. Surgical robots, such as the da Vinci system, have been in use for years. However, these machines are entirely controlled by humans, not artificial intelligence. This won’t always be the case.

The Smart Tissue Autonomous Robot (STAR) can already suture stitches more precisely and cleanly than a human surgeon. Early tests have shown that the same technology can also be used to remove tumors in a less damaging and invasive manner than human surgeons are capable of.

eCommerce

The eCommerce industry has embraced all kinds of Artificial Intelligence technologies to meet customer needs faster and improve the customer experience as a whole, while increasing revenue and profitability at the same time.

One of the most popular uses of Artificial Intelligence in the eCommerce industry is chatbots. Chatbots are computer programs that have been designed to communicate with shoppers in a friendly, personalized manner. Chatbots can do things like answer shopper’s questions, offer useful suggestions, and perform various tasks, such as initiating a return for an order placed online.

Predictive sales is the process of collecting large amounts of data on customer behavior in order to determine what kinds of products are in high-demand. This information is then used to inform product development, purchasing, and inventory management decisions. In fact, the hit Netflix show House of Cards was the result of utilizing this kind of Artificial Intelligence technology.

When it comes to driving repeat purchases and increasing profitability, few things are as effective as suggesting highly-relevant products to customers at specific times when they are most likely to buy. Artificial Intelligence is used to analyze a customer’s recent purchases and searches to determine what additional products they’re most likely to be interested. Then, these highly-relevant products are displayed to the customer when they are already in a “buying” mindset with the goal of increasing repeat purchases.

Amazon's Alexa shows what is possible with voice NLP. Users can speak out loud into Amazon’s Echo speaker to ask Alexa to perform any number of a growing number of tasks, such as to tell a joke, play a song, give the weather forecast, or order products directly from Amazon.com. Google, Microsoft, Apple, and China’s Baidu also have voice-based assistants of this kind.

When it comes to robotics, Amazon is also leading the way when it comes to automating warehouse tasks, such as parcel sorting, packaging, and categorizing.

Government

Governments all over the world are looking for ways to utilize Artificial Intelligence to analyze large amounts of data, improve decision-making, predict natural disasters and external threats, reduce crime, increase efficiency, and cut costs.

One of the most obvious uses of Artificial Intelligence and Machine Learning is to sift through large amounts of data to predict natural disasters, efficiently allocate resources during rescue efforts, and identify external threats and crime patterns. In addition, robots can be used for high-risk tasks, such as drone surveillance and bomb disposal.

When it comes to public health, machine learning can be used to detect and even predict epidemics such as food poisoning and outbreaks of infectious disease. The earlier these outbreaks are detected, the earlier they can be contained and eliminated.

The U.S. Government is also the single, largest employer in the world. Hiring talent is one of the most costly burdens any employer deals with in terms of both time and resources. Artificial Intelligence can help government streamline and automate the recruitment and hiring process, including identifying qualified talent, evaluating resumes, and scheduling interviews.

Digital Transformation