Artificial Intelligence Capabilities

 

AI is one of the most popular talked about technologies today. For business, this technology introduces capabilities that innovative business and technology leadership can utilise to introduce new dimensions and abilities within service and product design and delivery.

Unfortunately, a lot of the real business value is locked up behind the terminology hype, inflated expectations and insecure warnings of machine control.

It is impossible to get the value from something that is not understood. So lets cut through the hype and focus to understand AI’s objectives and the key capabilities that this exciting technology enables.

There are many definitions of AI as discussed in the blog post “What is Artificial Intelligence: Definitions“. Keeping it simple: “AI is using computers to do things that normally would have required human intelligence.” With this definition in mind, there are basically three things that AI is aiming to achieve.

3 AI Objectives

  • Capturing Information
  • Determine what is happening
  • Understand why it is happening

Lets use an example to demonstrate this…

As humans we are constantly gathering data through our senses which is converted by our brain into information which is interpreted for understanding and potential action. You can for example identify an object through site, turn it into information and identify the object instantly as, for example, a lion. In conjunction, additional data associated with the object at the present time, for example the lion is running after a person yelling for help, enables us to identify danger and to take immediate action…

For a machine, this process is very complex and requires large amounts of data, programming/training and processing power. Today, technology is so advanced that small computers like smart phones can capture a photo, identify a face and link it to a name. This is achieved not just through the power the smart phone but through the capabilities of AI, made available through services like facebook supported by an IT platform including, a fast internet connection, cloud computing power and storage.

To determine what is happening the machine might use Natural Language Understanding (NLU) to extract the words from a sound file and try to determine meaning or intent, hence working out that the person is running away from a lion and shouting for you to run away as well.

Why the lion is chasing and why the person is running away, is not known by the machine. Although the machine can capture information and determine what is happening, it does not understand why it is happening within full context – it is merely processing data. This reasoning ability, to bring understanding to a situation, is something that the human brain does very well.

Dispite all the technological advancements, can machines today only achieve the first two of the thee AI objectives. With this in mind, let’s explore the eight AI capabilities relevant and ready for use, today.

8 AI Capabilities

AI-8Capabilities

  • Capturing Information
    • Image Recognition
    • Speech Recognition
    • Data Search
    • Data Patterns
  • Determine what is happening
    • Language Understanding
    • Thought/Decision Process
    • Prediction
  • Understand why it is happening
    • Understanding

Image Recognition

This is the capability for a machine to identify/recognise an image. This is based on Machine Learning and requires millions of images to train the machine requiring lots of storage and fast processing power.

Speech Recognition

The machine takes a sound file and encodes it into text.

Search

The machine identifies words or sentences which are matched with relevant content within a large about of data. Once these word matches are found it can trigger further AI capabilities.

Patterns

Machines can process and spot patterns in large amounts of data which can be combinations of sound, image or text. This surpasses the capability of humans, literally seeing the woods from the trees.

Language Understanding

The AI capability to understand human language is called Natural Language Understanding or NLU.

Thought/Decision Processing

Knowledge Maps

Prediction

Predictive analytics is not a new concept and the AI prediction capability basically takes a view on historic data patterns and matches it with a new piece of data to predict a similar outcome based on the past.

Understanding

Falling under the third objective of AI – Understand what is happening, this capability is not currently not commercially available.

To Conclude

In understanding the capabilities of AI you can now look beyond the hype, be realistic and identify which AI capabilities are right to enhance you business.

In a future blog post, we’ll examine some real live examples of how these AI capabilities can be used to bring business value.

Top 10 Technology Trends Impacting Infrastructure & Operations for 2018

Does your IT strategy include infrastructure, operations (I&O) practices and data center architectures that are sufficient to meet the demands of the digital business. Digital transformation requires IT agility and velocity that outstrips classical architectures and practices.

David Cappuccio, from Gartner outlines the top 10 trends that will impact IT operations (I&O) in 2018. Each will have an impact on how IT operates, plans, enhances internal skill sets, and supports the business.

 

Guest Blog: Original Article @ Gartner

Outside forces will shape IT’s journey towards a digital infrastructure.

Legacy infrastructure and operations (I&O) practices and traditional data center architectures are not sufficient to meet the demands of the digital business. Digital transformation requires IT agility and velocity that outstrips classical architectures and practices.

In 2018, IT will be increasingly tasked with supporting complex, distributed applications using new technologies that are spread across systems in multiple locations, including on-premises data centers, the public cloud and hosting providers.

David Cappuccio, vice president and distinguished analyst at Gartner, says I&O leaders should focus on 10 key technologies and trends to support digital transformation.

“These are not necessarily the top 10 technologies, or the hottest trends in IT, but rather the 10 trends we feel will have an impact on I&O teams over the next few years,” says Cappuccio. “Some are happening already, some are just beginning, but each will have an impact on how IT operates, plans, enhances internal skill sets, and supports the business.”

Strategic

Trend 1: Geo Planning
Outside factors including the European Union’s General Data Protection Regulation (GDPR), geo specific workloads and global and regional network access are driving IT to spend more time on geo planning as part of their longer term strategies. The long term objective is not to own a global infrastructure, but to build the infrastructure needed to support the business via partners, as well as leveraging an organization’s partner’s infrastructure to help support initiatives such as multiple network connections and infrastructure design and support.

Trend 2: The Intelligent Edge
Many digital business projects create data that can be processed more efficiently when the computing power is close to the thing or person generating it. Edge computing solutions address this need for localized computing power. For example, in the context of the Internet of Things (IoT), the sources of data generation are usually things with sensors or embedded devices. The intelligent edge serves as the decentralized extension of the campus networks, cellular networks, data center networks or the cloud. Organizations that have embarked on a digital business journey have realized that a more decentralized approach is required to address digital business infrastructure requirements.

Trend 3: Intent-based Networking (IBNS)
Gartner predicts that by 2020, more than 1,000 large enterprises will use intent-based networking systems in production, up from less than 50 today. Intent-based networking (IBNS) is not a product, or a market. Instead, it is a piece of networking software that helps to plan, design and implement/operate networks that can improve network availability and agility, which becomes increasingly important as organizations transition towards digital business.

With IBNS, rather than explicitly defining to the network what needs to be done, the software translates the business intent to determine the “correctness” of the network configuration before deployment. The system then continuously compares the actual and desired state of the running network.

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Tactical

Trend 4: APIs – Integration Economy
A digital business is supported by technology platforms in five areas: information systems; customer experience; data and analytics; IoT; and ecosystems. The ecosystems technology platform supports the creation of, and connection to, external ecosystems, marketplaces and communities. Application performance interface (API) management enables the digital platform to function.

Organizations should design APIs from the “outside in,” based on ecosystem requirements, not “inside out,” based on existing applications or technology infrastructure. “Ensure that your organization takes an ‘API first’ approach, designing APIs based on the requirements of your organization’s ecosystem,” says Cappuccio. “APIs designed in this way can be mapped to internal technology infrastructure. This approach is more effective than simply generating APIs based on existing infrastructure and data models.”

Trend 5: Reputation and Digital Experience
There are two interlinked trends impacting business today that have nothing to do with IT infrastructure, but everything to do with infrastructure design. Digital experience management (DEM) is the impact of presenting the right digital experience to customers. The experience could be mobile or web-based, and should be always available, continually improving and perform quickly and consistently. If any of these tenants are lacking, customer satisfaction is in peril. If customer satisfaction is in peril, especially in today’s social media savvy world, corporate reputation could quickly be damaged.

Trend 6: Beyond Traditional IT – New Realities
Business units are demanding agility, in opening new markets, taking on emerging competitors, bringing in new suppliers, and creating innovative ways of interacting with customers. Over 30% of current IT spend is not part of the IT budget, but overall responsibility for supporting these new initiatives, once they are tested and stabilized, will reside with traditional IT. Managing those new providers, managing workflows and managing new types of assets in this hybrid environment, regardless of where they are located, will become crucial to IT’s success.

Operational

Trend 7: DCaaS as a Strategy
In a perfect world, at least from the perspective of many business leaders, IT and the data center would be essentially a very agile provider of service outcomes, rather than the owner of the infrastructure. To do this organizations are creating a data center as a service (DCaaS) model, where the role of IT and the data center is to deliver the right service, at the right pace, from the right provider, at the right price.

“Making key short-term decisions can lead to a long-term strategy that incorporates the best of ‘as a service’ and the cloud without compromising IT’s overall goals to both protect and enable the business,” says Cappuccio. “In this manner, IT can enable the use of cloud services across the business, but with a focus on picking the right service, at the right time, from the right provider, and in such a way that underlying IT service and support does not get compromised.”

Trend 8: Cautious Cloud Adoption
For many enterprises the journey to the cloud is a slow, controlled process. Colocation and hosting providers have established private or shared clouds on their premises to provide customers some basic cloud services, enabling controlled migrations, staff skills training and a “safe” cloud environment as a stepping stone to increased cloud adoption in the future. As customers get comfortable with these services and costs, increased migrations to external providers are enabled via interconnect services. Using this partner ecosystem to enable an agile infrastructure is a rapidly emerging trend.

Trend 9: Capacity Optimization – Everywhere
Organizations need to focus on optimizing capacity and guard against stranded capacity – things that are paid for, but not really being used. This issue can be found both in existing on premise data centers and in the cloud. A change in culture is needed to fix this problem. Organizations must learn to focus not just on uptime and availability, but also on capacity, utilization and density. Doing so can extend the life of an existing data center and reduce operating expenditures from cloud providers.

Trend 10: Extended Infrastructure Management
The data center as the sole source of IT infrastructure has given way to a hybrid of on-premises, colocation, hosting, and public and private cloud solutions. These elements are being combined with a focus on providing business-enabling services and outcomes, rather than a focus on physical infrastructure. Enterprises must apply a future-looking, enterprise-wide “steady hand” to IT strategy and planning, and apply appropriate guardrails, or face the possibility of losing relevance, governance and enterprise agility.