While some things are easy to measure, intelligence is not one of them. Intelligence is a very abstract and complex thing to measure. How do we, people, perceive artificial intelligence and what are our expectations from it? It seems when people judge AI’s ability, we are harsh. We want AI to be perfect. We do not show the flexibility we provide to human mistakes proportionally to AIs. We want AI to be “like a human”. Whatever the reason is, it is a common pattern. We expect artificial intelligence to be comparable to human intelligence.
Blockchain technology alone cannot provide freshness, safety, provenance, and recall capabilities. That requires data and capabilities from outside the blockchain. It seems that the best emerging approach will be a hybrid consisting of 1) a centralized networked SaaS platform providing economical scalability and deep algorithmic and process capabilities, combined with 2) blockchain and smart contracts for transparency and validation. Blockchains are attractive because of their ability to create a shared, trusted single-version-of-the-truth between trading partners. However, a networked SaaS platform can provide a shared, trusted single-version-of-the-truth at a much lower cost.
If you have a single data scientist and you already think they should be delivering more to your bottom line than they are news flash: "They suck" and you hired the wrong caliber individual for the job. You may still be able to keep them if they are good, but you need to bring in a type-E rockstar to cement your data arm and redirect the unstoppable ship. A type-E individual doesn't settle anywhere. If you ask an individual where do you see yourself in 5 years and they respond "Not working here" you have found a real winner.
Industry 4.0 promises to combine digital technologies — such as big data, data analytics, artificial intelligence and machine learning — with all-pervasive internet connectivity to produce vast quantities of valuable data. Companies mine, analyze and convert the information into a wealth of insights and then use the knowledge to boost factory productivity, increase supply chain efficiency and make substantial cost savings. As always, new trends bring about new security challenges. Though connecting industrial machinery to the outside world can be risky, the deployment of virtual private networks (VPNs) can ensure that Industry 4.0’s data treasures stay hidden from unwelcome observers.
Only a fraction of the population of this planet has a skill set considered essential to business and technology today. Solving tough A.I. problems is not like building the flavor-of-the-month smartphone app. In the entire world, fewer than 10,000 people have the skills necessary to tackle serious artificial intelligence research. The path to success is to first start with a problem that would be a good candidate for machine learning, and then be prepared to experiment with training sets comprised of your own data.
The IIoT is the digitization of industrial assets and processes that connects products, machines, services, locations/sites to workers, managers, suppliers, and partners. The IIoT creates a universe of sensors that enables an accelerated deep learning of existing operations. These data tools allow for rapid contextualization, automatic pattern, and trend detection. Furthering this for manufacturing operations will finally allow for true quantitative capture of formerly “expert” qualitative operations. The question is whether or not we can leverage analysis on a continual basis to have continuous machine health monitoring and preempt catastrophic failure. This is what is known in IIoT as predictive analytics.
The key question is what is so different about the latest wave of RPA? The answer lies with the maturity of both the technology being used as well as the business processes that it is being applied to. RPA is transforming organisations across all industries, leading experts to believe that it is one of the most transformational tools in current times. In this article we explore the benefits of RPA and why it is so transformational, along with an analysis of where it can be applied within the financial services sector.
A blockchain may contain smart contracts that trigger and execute at key handoffs and decision points for each pallet or case of produce flowing throughout the end-to-end supply chain from farm to consumer. These can be used to automate key transactions and decisions. Until we see further technology breakthroughs, the cost of executing smart contracts makes them prohibitively expensive for providing 100% of the automation required in a produce supply chain. Here we discuss the division of labor between on-chain contracts and off-chain backend automation systems.
There’s no single or straightforward answer for solving the major security issues with IoT, but that doesn’t mean it’s impossible to achieve. To start, we need to focus on improving the security for IoT altogether. As for you — a business owner, executive, or IT professional working in the industry — it’s time you get serious about the problem and come up with some ways to bolster your own security before it becomes a Pandora’s box. Deploying a real-time monitoring solution to the backup of a machine learning or an AI platform is a great start.
When IoT developers consider blockchain, they should first sit back and ask themselves the basic question we ask about any new technology – “what problems will it solve for us?” If the answer is “nothing we can think of” then it is probably safe to put blockchain on the back burner, at least for now. However, blockchain could hold some potential for the IoT, particularly in relation to applications involving peer-to-peer transactions. If there are technological innovations that make blockchain more effective or increase its benefits, it might become more relevant to the IoT – but that day is not here yet.
Recording the various transactions, HACCP steps, and temperature readings onto a blockchain can add trust and additional capabilities to the system. The data about orders, prices, transactions, shipments, and so forth needs to be kept private to the parties involved. Consensus may be met with just a small number of checks being made to validate the data being written on the blockchain. Here we describe specific capabilities blockchain brings to a produce supply chain, such as tamper-resistance, automation/smart contracts, settlement, and record of soft claims, auditability, and enabling uber-like spot markets. We also touch on why a permissioned blockchain is needed.
How to use an intranet to engage employees? A corporate intranet can help win employees’ loyalty, and HR managers should always be on the lookout for ways to improve it. A finely tuned intranet can help your employees find the information they are looking for easily, follow their activities and performance, stay tuned into corporate life and keep connected to their peers, thus getting support from the professional community and feeling more satisfied with the working process. Read this article to learn how to use an intranet to engage employees.
Today, you don’t have to work in the office every single day, especially if your setup allows you to tap in remotely via an internet connection. When a team is spread out like this, it can be difficult to organize certain aspects of your business. Communication and collaboration, for instance, can be sub-par if you don’t have the appropriate tools and protocols in place. Another aspect of your managed systems and networks is cybersecurity. How, then, do you better protect your remote personnel? What are some precautionary measures and strategies you can deploy in the age of distributed teams?
The most valuable improvements for the produce supply chain come from increasing freshness and safety. Growers and retailers are always looking to reduce waste and spoilage in the supply chain and provide produce that has a longer post-purchase shelf life, with superior freshness. Improving freshness and reducing spoilage requires a number of additional data elements and capabilities, beyond those needed for traceability for provenance and recall. Companies can implement their own policies in a smart contract or off-chain. All data such as test results, events, etc. can also be stored in a blockchain if stronger proof of non-tampering is required.
Microservices have become dominant over the last few years, so much so that it is hard to imagine encountering a modern application built with a SOAP API. The wide spread usage of stateless microservices has allowed for modern applications to be easily and quickly deployed horizontally and directly on the edge. The lightweight nature of REST APIs due to their statelessness, have allowed for applications with less overhead, quicker integration times, and a much more enjoyable programming experience. Microservice adoptions at both the application and middleware layer have driven much of the advances in edge computing.
A lot has been written specifically about the potential use of blockchain technologies in fresh food supply chains. The vision is that industry-wide blockchains can provide stronger assurance of origin and chain-of-custody, faster and more precise recalls, fresher produce and meat, reduce waste and spoilage, and fewer contamination incidents. A strong case can be made that the greatest value potential is in improving freshness and safety. How blockchain can help establish provenance and recall capabilities, in particular by providing traceability? To understand the role of blockchain in providing traceability, and hence provenance and recall, we examine four ways to achieve traceability.
Data Modeling refers to the practice of documenting software and business system design. A Data model is used to document, define, organize, and show how the data structures within a given database, architecture, application, or platform are connected, stored, accessed, and processed within the given system and between other systems. Data modeling is required to manage data as a resource, integrate existing Information systems, design databases and repositories, and understanding the business. Using proper modeling and reporting, you can spot business trends, spending patterns, and make predictions that will help your business navigate challenges and opportunities.
In layman’s terms, blockchain is a modern, digital ledger designed to record and secure all transactions that happen under its reach. Before a transaction or digital “block” can enter the network, it must be verified. This verification is part of what makes blockchain technology so alluring because it's transparent, accurate and decentralized. A deeper and more intrusive understanding, blockchain requires a considerable guide. For now, we’re going to focus on the pros and cons of the technology, which will probably influence whether or not you want to adopt it for yourself or within your organization.
If you’re interested in a career in tech, you have a lot of options. Following your interests is a great place to start when choosing a career path, but it also makes sense to look for jobs that have strong growth potential. Some of these jobs might require that you gain additional skills, or even go back to school for a new degree, but the effort can really pay off. Here are 5 of the tech careers that are expected to boom in 2019—could one of them be the perfect fit for you?
People often see the Industrial IoT (IIoT) in a narrow view, namely the ability to increase efficiency, productivity, and cost savings. While that’s true, it’s a limited list of benefits based on one’s understanding of connectivity, data, and information to influence behavior. There are several ways to lead organizational change, and it all depends on one’s role and how they view their role in the organization. With IIoT sensors and analytics, continuous condition monitoring is available in a cost-effective manner to have information flowing in real-time to further enhance productivity, efficiency, health, and safety.
The combination of DevOps, Continuous Delivery, and Continuous Integration is transforming the practice of product management. DevOps is now the next phase in modern software development and product management. Product managers, more than ever, must do a better job of prioritizing requirements. DevOps requires product management and other parts of the organization to also change. It’s an exciting time to be a product manager. Agile and DevOp create new opportunities. Add security into your product DNA. Work closely with your teammates to maximize process delivery and customer value. Support the changes required to ensure successful product launches and customer engagement
SQL is a critical skill. What is SQL anyway? SQL is a query language for talking to structured databases. Pretty much all databases that have tables and rows will accept SQL based queries. SQL has many flavors but the fundamentals stay the same. Professionals and amateurs alike use SQL to find, create, update and delete information from their sources of record. Understanding SQL queries can be fundamental to your work. Professionals and amateurs alike use SQL to find, create, update and delete information from their sources of record.
The most common questions asked is how do I become a data scientist? It is a fair question for those that are deciding to pivot that direction because they want to eliminate the learning waste that traditional educations are full of. The number one reason I think you will never be a data scientist is your lack of passion. Honestly, passion fixes everything. The biggest flaw in most people attempting to break into data science is their lack of breadth. People who are passionate have great breadth.
Here we focus on blockchain, Identity Management, and Corporate Social Responsibility, a timeless subject that has taken on added meaning. Identity management technology exists that can obviate the need for passwords or storing personal information in servers all over the place. There has also been a movement to try and give individuals a single, universal digital identity. With regulations on the wane (for now) as an inhibitor of bad behavior, it is heartening to see business leaders stepping up to the plate to try and create cultures and actions of corporate responsibility.