As a Information Technology MD, its very critical for you to understand developing brand strategy is extremely critical. The most important asset your company has is its brand. Quite simply, it drives the direction of your business. So you should definitely have a well thought out brand strategy in place.
Increasing competition in business develops similar products with good quality from different manufacturers. But only an effective, innovative and Business Network & planning can make your business and products more popular.
For your profession as Information Technology MD it becomes your responsibility to stay connected with like-minded supporting industry experts who can guide and help you deal with your day to day work issues.
Patent - Machine Learning Advertising Marketing Strategy
If you are entrepreneurial in nature owning a business is very exciting adventure. It can also be the most difficult thing for you to get into if you are not prepared.
The management of supply chains is constantly developing due to momentous changes such as the Internet, E-commerce and the globalisation of supply chains. Its success often relies on rapid, accurate and efficient handling of data. The trend towards lean and agile distribution channels and the growth of Fourth Party Logistic Providers (4PLs) within the supply chain industry requires significant organisation and management. The efficient control of these activities requires supply chain knowledge, operational information and importantly, timely and accurate data to support the decision making process. Essentially, effective and efficient data acquisition techniques are required.
RFID is a generic term for technologies that use radio waves to communicate the identity of individual items over an air interface. RFID works similarly to bar code technology in that an item has to be interrogated by a scanner or reader for it to be identified. Barcodes, however, have one significant downfall, they require line-of-site technology. That means the scanner has to see the barcode to read it, which usually means items have to be manually oriented towards the scanner for it to be read. Conversely, RFID does not require line-of-site and can be read as long as the item is within range of the reader.
RFID is now being considered as an integral link in E-Commerce environments. The technology in theory should enhance and complement Electronic Data Interchanges (EDIs) to facilitate quick response and the generation of exception reports. This should allow real time information to be transmitted to partners within the supply chain supporting the decision-making process. Ultimately RFID should provide immediacy of data right down to individual item level identification. This can help bridge the gap between the customer, the order and order fulfilment process to the satisfaction of the customer. This means that it can enable the enhanced responsiveness expected within an E-Business environment.
The supply of on-demand barcode label printers currently represents one of the most widely used AIDC technologies (technologies such as: barcodes, smart cards, magnetic stripes on credit cards, optical character recognition etc) in supply chain applications (e.g. EPOS, warehouse and inventory management). Due to mandates set by influential leaders in the retail and defence industries, barcode label printers with RFID enabled capabilities present a real opportunity for companies to develop and extend their product portfolios by providing products which will enable companies to meet compliance objectives. Opportunities also exist to provide printers for those companies faced with compliance for when usage and acceptance of the technology becomes more prevalent. An entire new market segment will have emerged, requiring a widespread ongoing supply of printers, peripheral equipment and consumables.
Bar code systems Bar code systems include the symbologies that encode data to be optically read, printing technologies that produce the machine-readable symbols and scanners and decoders that capture the visual images of the symbologies and convert them into computercompatible digital data. Barcode scanning reduces errors associated with manual data handling, and produces visibility to aid supply chain management. A significant benefit of bar codes is that they are extremely cheap to produce and provide an efficient means of item identification. Unfortunately, according to some sources, bar codes are proving increasingly inadequate in a growing number of applications. Bar coding is an optical technology, which introduces constraints regarding orientation of the product (invariably requiring human intervention) and cleanliness of labels and scanners for fast efficient data collection. Bar codes can be easily copied and so become an easy target for counterfeiting. In addition, standard barcodes have low storage capacity, cannot be reprogrammed and only identify the manufacturer and product and not the unique item. Industry bodies indicate that bar code systems are now a mature technology with limited potential for further growth.
RFID is emerging as a complementary technology to help overcome some of the drawbacks associated with bar code technology. RFID systems consist of transponders (tags), which are made up of a microchip with a coiled antenna and an interrogator (reader) with an antenna. The tags are attached to the items to be identified and the RFID readers communicate with the tags via electromagnetic waves. RFID middleware (software) provides the interface for communication between the interrogator and existing company databases and information management systems. RFID is a term used to describe any identification device that can be sensed at a distance by radio frequencies with few problems of obstruction and mis-orientation. The devices are often referred to as 'RFID tags' or 'Smart Labels'.
In its most basic form, a smart label consists of an ultra- thin RFID tag often referred to as an inlay. Inlays for smart labels are available in the 13.56 MHz, 860 to 930 MHz and 2.45 GHz frequency ranges. The inlays are embedded in label material, which is printed with human-readable text, graphics and bar codes (passive smart label). The printed data both supplements and backs up the information that is programmed into the tag. An evolutionary product to passive smart label technology is the smart active label (SAL). SALs can be defined using the same definition of smart labels above, but for one clear distinction, the inclusion of an integral power source. This distinguishing characteristic allows SALs to provide enhanced functionality over passive RFID smart labels including sensory, processing, display and locating capabilities. Smart labels are typically used for disposable applications and are not as durable as permanent RFID tags, which can be encased in materials to withstand harsh environments. Although one company suggests that the label material can be developed to withstand environmental conditions and that appropriate adhesive can ensure the label lasts the required duration.
Smart labels are referred to as smart because of their flexible capabilities provided by the RFID tag embedded in the label. The tag can be programmed and/or updated in the field allowing the same label to be reused serving multiple needs and disparate applications. Subsequently, the label is no longer static as a bar code label, but dynamic in its capability when equipped with RFID. Supporters of RFID suggest benefits which include: cost savings through automating the check-out process, a reduction in labour associated with performing inventory counts; improved theft prevention and increased authenticity control, a reduction in inventory holding cost, diversions and improved product availability. Unfortunately, an exact description of how the benefits are attainable in practice has often remained vague. The main criticisms on RFID technology are that it is too expensive and that it is unlikely that the investment will pay off. It is also argued that RFID is an over-marketed, hyped technology and that existing bar code based systems already provide most of the needed functionality.
Marketing Strategy - Better Change Now Before You Have To
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Through business relationships and experience sharing in confidential settings for Information Technology MD, we strive to create personal and business value for all our network peers.
According to John McCarthy, who is the father of Artificial Intelligence, an AI is "The science and designing of making intelligent machines, especially intelligent PC programs".
Artificial intelligence is a way of making a computer robot or a software think intelligently same as an intelligent human thinks. Artificial Intelligence (AI) is the concept of having machines "think like humans".
AI has a huge effect on your life. Whether you are aware or not, it has already influenced your life style and it is very much likely to grow in coming years.
Here are some examples of AI that you are already using in your daily life:
• Your personal assistant Siri - It is an intelligent digital personal assistant on various platform (Windows, Android, and iOS). It provides you an assistance whenever you ask for it using your voice.
• Smart cars - Google's self-driving car, and Tesla's "auto-pilot" feature are two examples of Artificial Intelligence.
• Recommended products or Purchase prediction - Large retailers like Amazon, recommend you the products, send coupons to you, offer discounts, target advertisements on the basis of the shopping you earlier had by a predictive analytics algorithm.
• Music and movie recommendation services - Pandora, and Netflix recommend music and movies based on the interest you've expressed and judgements you have made in the past.
Other simple examples of AI influencing our daily life are:
- Facebook provides recommended photo tags, using face recognition.
- Amazon provides recommended products, using machine learning algorithms.
- Waze (a GPS and maps app) optimal routes, all at the click of a button.
- Spotify knows my music preferences and curates personalized playlists for me.
As per Marc Benioff, AI is going to impact corporate world, employees will be faster, smarter and more productive. It will learn from the data. Ultimately, it will understand what customers want before even they know and it could be a game-changer in the CRM industry.
Salesforce already bought productivity, and machine learning startups RelatedIQ, Metamind, and Tempo AI in 2014.
AI (Artificial Intelligence) in salesforce is not about time-travelling robots trying to kill us, or evil machines using humans as batteries in giant factories. Here we are not talking about some summer blockbusters, we are talking about the salesforce AI which will make your daily experience smarter, by embedding daily predictive intelligence into your apps.
So, what is AI?
AI is not killer robots; it is killer technology.
Artificial Intelligence (AI) is the concept of having machines "think like humans" - in other words, perform tasks like reasoning, planning, learning, and understanding language.
Customer focused AI: Salesforce Einstein
Salesforce is focusing on creating a platform for solving the customer problems across Sales, Service, Marketing and IT in a completely new way by using Salesforce Einstein.
Salesforce Einstein is built into the core of the Salesforce Platform. It enables anyone to use clicks or code to build AI-powered apps.
With Salesforce Einstein, we can have answer of these type of questions:
- Are you sure that you are servicing your customers by the right client?
- Are you sure that your customers are getting services on the right channel?
- Is it correct to say that you are offering the right item to the right customer at the right time?
- Is it correct to say that you are using the right channel for marketing your products at perfect time with best substance?
Salesforce Einstein is your data scientist
Einstein is like having your own data scientist dedicated to bringing AI to every customer relationship. It learns from all your data - CRM data, email, calendar, social, ERP, and IoT - and delivers predictions and recommendations in context of what you're trying to do.
AI has the ability to transform CRM using Salesforce Einstein
- Sales people can spend more time in visiting customers, not in entering data in CRM.
- Sales people can now better understand the customer requirement and when they need it.
- Sales people can close deals faster by predicting the next step for every customer.
- A service agent could suggest a solution to the customer even before he asked for it.
- Service agent can offer cross-sell at the right time to the right customer.
- Marketing user can easily reach to the right customer at the right time.
- Marketing user know who could be the best audience for each campaign.
- He can easily identify the customer requirement so he delivers the perfect content to every customer.
Salesforce Einstein enables everyone to discover new ways, predict outcomes so help in decision making, recommend next steps, and automates most of your activities so that you can spend most of your time in building strong relationship with customers rather than making entries in system.
What will AI give me that I didn't already have?
Predictive scoring -Predictive lead scoring gives each sales lead a score representing the likelihood it will convert into an opportunity. You also get the reasons
behind the score - for instance the lead source, the industry, or some other factor is an especially strong indicator that a lead will or won't convert.
Forecasting -AI can also be used to predict the future value of something, like a stock portfolio or a real estate investment. If you're a sales manager, AI can predict your quarterly bookings and let you know ahead of time whether or not your team is on track to meet its quota.
Recommendations - Anyone who shops online knows that AI makes suggestions for retail purchases, but it can also make smart recommendations for any other product or service category from business software to tax consulting to cargo containers. And AI can also recommend things other than products - for instance, which white paper you should email a prospect in order to optimize your chance to close a deal.
Who can use AI in the enterprise
Anyone in organization can easily use AI to analyze their data, predict and plan next steps, and automate their tasks and decisions. With Einstein's comprehensive AI for CRM:
• Sales can anticipate next opportunities and exceed customer expectations by knowing what a customer needs before the customer does
• Service can deliver proactive service by anticipating cases and resolving issues before they become problems
• Marketing can create predictive journeys and personalize customer experiences like never before
• IT can embed intelligence everywhere and create smarter apps for employees and customers
What is Machine Learning
Machine learning is the core driver of AI. It's the concept of having computers learn from data with minimal programming.
Networking has always been considered a powerful tool for improving business prospects, advancing a career, and developing ideas. Other than some brief, structured events, networking has been mostly informal and inexpensive in comparison to cost they otherwise spend on different channels. But membership is growing in many formal, long-term networking groups, and so is the price tag.
Our groups are not groups for generating sales leads, nor are they places where individuals can drop-in to gain quick advice on an immediate challenge. Members also sign a confidentiality agreement and benefits from the guided mentoring to help each other.
These groups include an experienced facilitator and use a structured discussion method to ensure appropriate participation.