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C2010-591 - Fundamentals of Applying Tivoli Service Delivery and Process Automation Solution - Dump Information

Vendor : IBM
Exam Code : C2010-591
Exam Name : Fundamentals of Applying Tivoli Service Delivery and Process Automation Solution
Questions and Answers : 85 Q & A
Updated On : December 12, 2018
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C2010-591 Questions and Answers

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C2010-591 Fundamentals of Applying Tivoli Service Delivery and Process Automation Solution

Study Guide Prepared by Killexams.com IBM Dumps Experts


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C2010-591 exam Dumps Source : Fundamentals of Applying Tivoli Service Delivery and Process Automation Solution

Test Code : C2010-591
Test Name : Fundamentals of Applying Tivoli Service Delivery and Process Automation Solution
Vendor Name : IBM
Q&A : 85 Real Questions

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IBM IBM Fundamentals of Applying

IBM Says Blockchain Can energy 'Open Scientific analysis' in New Patent submitting | killexams.com Real Questions and Pass4sure dumps

A patent application published Thursday claims the method of conducting scientific research can benefit from the blockchain.

Led by a crew at IBM's Watson research center, the patent utility gifts a imaginative and prescient for dynamic collaboration – one where researchers can song their work across institutional borders. it's yet another non-financial application of the allotted-ledger expertise, which IBM has championed in fresh months.

This newest patent will also be concept of as an tricky software changelog, but for science. Or, as the submitting puts it, a system that gives "a tamper resistant log of scientific research."

From the submitting:

"The blockchain system can form a blockchain representing a analysis task, wherein the blockchain comprises a primary block of research information and a 2d block of analysis information representing a log of an analysis carried out on the analysis information. abstract blocks and correction blocks can also be brought to the blockchain representing the publish analysis of the analysis consequences."

The application – titled "Blockchain for Open Scientific research" – become first filed with the U.S. Patent and Trademark office in December 2017. IBM researchers Jae-wook Ahn, Maria Chang, Patrick Watson and Ravindranath Kokku are listed at inventors.

in accordance with the patent, "currently, there are restricted systems that allow for sharing information about scientific analysis and displaying transparent information assortment and analysis steps. systems that do exist, lack the requisite controls and mechanisms to enable for trustworthy information, as there are few alternate options for guaranteeing that facts could be proof against change."

IBM is rarely the only group working on applying dispensed ledger technology to the scientific realm. A Berlin-based mostly suppose tank, Blockchain for Science, held its first international convention previous this week.

The blockchain-flavored patent is considered one of many for massive Blue. based on records posted in September, IBM turned into at the back of handiest chinese information superhighway big Alibaba in the variety of blockchain-linked patent filings. The 89 determine quoted at the time has certainly long past up during the past two months: a couple of

IBM graphic via Shutterstock

The leader in blockchain information, CoinDesk is a media outlet that strives for the highest journalistic necessities and abides with the aid of a strict set of editorial policies. CoinDesk is an independent operating subsidiary of Digital forex group, which invests in cryptocurrencies and blockchain startups.


Cloudy climate ahead for IBM and crimson Hat? | killexams.com Real Questions and Pass4sure dumps

the world is buzzing in regards to the application business’s largest acquisition ever. This “game changing” IBM acquisition of crimson Hat for $34 billion eclipses Microsoft’s $26.2 billion of LinkedIn, which set the outdated checklist. And it’s the third biggest tech acquisition in background behind Dell purchasing EMC for $sixty four billion in 2015 and Avago’s buyout of Broadcom for $37 billion the same 12 months.

Wall road actually gets anxious when it sees these lofty expense tags. IBM’s stock changed into down four.2 percent following the announcement, and there are probably more considerations over a broader IBM selloff round how a whole lot IBM is paying for red Hat.

This sets the stage for massive expectations on IBM to leverage this asset as a critical turning factor in its historical past. considering that IBM’s Watson AI poster infant has failed to create sustainable growth, could this be their most reliable opportunity to appropriate the ship once and for all? Or is this mega merger a sophisticated clash of cultures and items with a purpose to make it tough to recognise the full expertise?

large Blue’s been in big challenge

When the chips are down, it’s time to head all in. huge Blue definitely stunned the technology world when it announced it might do its greatest deal ever and purchase crimson Hat for an important 11x top rate. The reality is that red Hat turned into now not necessarily trying to be obtained, so overpaying turned into the handiest manageable option. And if IBM didn’t pay, Google, Amazon, VMWare or even Alibaba would have.

determined instances call for desperate measures. IBM has been struggling to reveal growth in new markets for rather a while. before 2018, it had 22 straight quarters of earnings decline. And it has lost over $28 billion in profits over the past six years. Its profits at the conclusion if 2017 became $79.14 billion, the bottom in 20 years and the more severe annual number seeing that 1997, when IBM revenues have been $78.51 billion, aside from inflation.

In early 2018, IBM changed into able to produce three consecutive quarters of revenue boom, but that turned into notably because of the introduction of a brand new line of IBM Z mainframe computer systems.

IBM has been a business in decline for many years. It’s tough to preserve a business with shrinking sales.

Too historic to grow?

IBM is greater than one hundred years historical and definitely suffers from comparisons to more youthful and nimbler companies akin to Amazon, Google, fb, and Apple which have posted record growth in recent instances. Amazon’s contemporary gains have surpassed $2 billion, for example.

if you contrast IBM to Microsoft, an additional ancient world software enterprise, it’s startling to peer the change in how Microsoft has been in a position to reposition itself as growth enterprise in response to the cloud.

In 1990, when Microsoft free up windows three.0, IBM had revenues of $69 billion (most effective $10 billion shy of what it has today), while Microsoft had round $800 million. Microsoft surpassed IBM in income in 2015 and crossed the $100 billion annual revenue mark in 2018.

over the past a few years, as IBM’s income shrank, Microsoft invested in its “industrial cloud” business that encompasses Azure, workplace 365, and Dynamics 365, bringing in over $23 billion in new revenues. Microsoft has recently been firing on all cylinders whereas IBM skilled increase stalls.

gradual to get to the cloud

IBM’s success in the hardware enterprise, primarily it’s Z-collection mainframes, pressured it to protect its turf and distracted it from seeing the future have an impact on of cloud. AWS started providing public cloud services back in 2006. As late as 2011, IBM become barely citing the be aware “cloud” in its annual experiences or profits calls. The business finally realized in 2013 that cloud computing turned into the future and made a hail-Mary buy of SoftLayer to bridge the gap, paying $2 billion after which investing an further $1 billion to integrate the platform.

It’s hard to set up big market share in case you’re late to the party. Softlayer’s worldwide market share is still a distant fifth behind AWS, Microsoft, Google, and even more energizing newcomer Alibaba, which passed IBM’s cloud revenues in June of 2018.

IBM made a number of different cloud-connected acquisitions, together with Gravitant (a cloud brokerage and management software), Bluebox (a personal cloud as a service platform in response to OpenStack), Sanovi (a hybrid cloud healing and migration application), Lighthouse and CrossIdeas (both cloud safety platforms), and CSL overseas (a cloud virtualization platform).

regardless of these acquisitions within the cloud market, IBM has didn't definitely monetize these items and benefit market share in the cloud.

The business has did not capitalize on innovations before: Watson AI become at the correct of its video game when it debuted on Jeopardy in 2011 to beat human contestants however promptly fell in the back of Amazon, Google, and Microsoft.

Will red Hat be the savior?

red Hat is the area’s biggest provider of open-source enterprise utility solutions. red Hat’s bread and butter Linux business continues to deliver growth specifically as it powers many modern AI and analytics workloads. Its mannequin has advanced from in basic terms on-premise to a fit subscription business used on public cloud structures equivalent to Amazon internet functions (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

purple Hat has also extended into open middleware solutions such as OpenStack, a cloud infrastructure platform, and OpenShift, a platform for managing application containers. OpenShift has long been a well-stored secret as Cloud Native Computing foundation (CNCF) has grabbed many of the headlines with its Kubernetes container orchestration platform. IBM has an opportunity to leverage its advertising and global reach to encourage mainframe and legacy customers to adopt OpenShift. These platforms have been extremely leveraged in deepest and hybrid cloud deployments, primarily in industries like telecommunications.

There isn't any doubt that pink Hat gives IBM a a lot extra credible cloud story. however the query actually is, is it too late?

The acquisition is definitely good news for corporations trying to shift basic container-primarily based functions and digital machines to the cloud. besides the fact that children, Amazon has already captured a big part of that market.

while the acquisition of red Hat offers IBM a robust position within the hybrid-cloud market, which can be general for enterprises that don't seem to be taking the time to decommission or re-architect legacy purposes, the quickly-starting to be public cloud market will be the battleground of the future.

Will the integration get messy?

IBM has had a spotty list when it involves integrating and capitalizing on significant acquisitions.

while the majority of IBM’s M&A has been in the enviornment of software, income in the section has been disappointing. perhaps what's regarding is that adjusting for acquisitions, IBM’s utility enterprise continues to decline — primarily because of the undeniable fact that these enormous acquisitions have develop into a part of the IBM textile and business as average.

Can IBM combine something as big as pink Hat without interfering with its core value proposition? Many worry that massive Blue will try to “blue wash” their platform of choice.

And there’s the query of whether these two distinctive company cultures can come together – IBM, a gradual increase company not making much development in the cloud area, and red Hat, an resourceful, open source business it is constructing foundational add-ons for operating in the cloud.

We’ve viewed way of life clashes derail many different excessive profile mergers equivalent to HP/Compaq, HP/Autonomy, Microsoft/Nokia, AOL/Time Warner, dash/Nextel and Alcatel/Lucent. IBM will need to embody the open source community and method.

The joint business will face crucial platform selections on the cloud entrance. IBM has a public cloud that competes with AWS and Microsoft. however builders use pink Hat’s Linux on many public clouds. while that multi-cloud strategy will assist IBM bring in income throughout the general public clouds, it will create conflict with its personal Softlayer cloud offering. IBM has struggled to manage this classification of channel and product conflict correctly in the past.

after which there is the future of IBM’s personal AIX working device vs. Linux — not to point out the SCO-IBM Unix lawsuit nonetheless lingering in the courts.

also to note are the lesser standard red Hat storage items like red Hat Ceph (an object file storage) and crimson Hat Gluster (a NAS product). As purple Hat integrates into IBM’s hybrid cloud neighborhood, these storage items can be separated from IBM, which might create confusion and battle.

So while IBM definitely faces loads of chance with the acquisition, there is no guarantee this huge bet will repay. IBM crucial a daring stream. but within the short term, we're not going to look any sudden movement of IBM’s position within the public cloud house. All eyes may be on its capacity to catapult into the hybrid cloud market. For that, the business will need to make sure it doesn’t get in its personal manner.

Frank Palermo is the govt vp at Virtusa’s world Digital business, the place he is liable for know-how practices in UX, mobility, social, cloud, analytics, big facts, and IoT.


IBM ambitions Scientific research in latest Blockchain Patent | killexams.com Real Questions and Pass4sure dumps

U.S. multinational IT business IBM plans to make use of blockchain to help scientific research and provide a listing of its outcomes, a brand new patent software filed with the U.S. Patent and Trademark workplace printed Nov. eight.

IBM, originally submitting the thought in December closing yr, says it foresees “integrating a blockchain and information collection and analysis for open scientific analysis.”

The software is the latest in a continuously increasing pile of patents sought by way of the business enterprise in the blockchain sector, essentially the most contemporary award coming remaining week centered at augmented reality gaming.

Now, an altogether greater technical offshoot addresses what it describes as a lack of platforms providing “requisite controls and mechanisms” to guard scientific findings.

“at present, there are confined systems that permit for sharing information about scientific analysis and displaying clear facts collection and analysis steps,” the patent utility reads, adding:

“platforms that do exist, lack the requisite controls and mechanisms to permit for faithful records, as there are few alternate options for guaranteeing that records may be proof against amendment.”

more widely, the science sector stands to benefit in multiple ways from the introduction of the expertise.

quite a few attempts have already targeted some points of the field, Cointelegraph reporting past this yr on industry-certain blockchain equipment for both pharmaceutical and genomics analysis data.


C2010-591 Fundamentals of Applying Tivoli Service Delivery and Process Automation Solution

Study Guide Prepared by Killexams.com IBM Dumps Experts


Killexams.com C2010-591 Dumps and Real Questions

100% Real Questions - Exam Pass Guarantee with High Marks - Just Memorize the Answers



C2010-591 exam Dumps Source : Fundamentals of Applying Tivoli Service Delivery and Process Automation Solution

Test Code : C2010-591
Test Name : Fundamentals of Applying Tivoli Service Delivery and Process Automation Solution
Vendor Name : IBM
Q&A : 85 Real Questions

Dont forget to try these actual test questions questions for C2010-591 exam.
The answers are explained briefly in simple language and still make quite an impact thats easy to understand and follow. I took the help of killexams.com Q&A and passed my C2010-591 exam with a healthy score of 69. Thanks to killexams.com Q&A. I would like to suggest in favor of killexams.com Q&A for the preparation of C2010-591 exam


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Fundamentals of Applying Tivoli Service Delivery and Process Automation Solution

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Cognizant is at an exciting phase in Asia Pacific. Here’s what’s driving demand for its services | killexams.com real questions and Pass4sure dumps

Cognizant is at a significant growth phase in Asia Pacific, buoyed by the region’s early adoption of new technology.

Hemant Tantia, Head of Banking and Financial Services - Market Enablement in APAC at Cognizant, says, “Asia Pacific has been a growth engine for our company and is one of our fastest growing regions.” Hemant says that clients in Asia Pacific embrace digital technology much faster than in many other places, making this an exciting market. “Companies here are more open to new technologies. This encourages companies like Cognizant to pilot new tech and our employees working here get to work on those cutting-edge technologies ahead of people in other regions. This is a huge motivating factor for our teams,” he says.

Cognizant, which has a reputation for being at the forefront of new solutions, is currently exploring Artificial Intelligence (AI) in banking in the Asia Pacific market, particularly to combat financial crime and money laundering.

One solution it developed for a large multi-national Banking & Financial services firm’s credit card division, which used data analytics,  AI and machine learning to understand new fraud patterns there by increased the fraud capture rate by 30%  and reduce the rate of false positive i.e. legitimate transactions wrongly declined by almost 100% . Another area in which Cognizant is active is the development of open banking Application Programming Interfaces (API).

The company is also actively developing robotic process automation in banking, under which manual processes are automated. In some case, Cognizant does not charge clients for this service, but instead takes its fee from a share of the cost savings the company makes as a result of its solution.

The fintech landscape is evolving rapidly, and one technology that Tantia thinks companies should be paying particular attention to is blockchain. “Blockchain has the potential to streamline operations and reduce costs, all while opening new revenue opportunities. While it has its current limitations in terms of scaling, the underlying fundamentals of this technology are very strong,” he says.

“Most tier one banks are still in a proof-of-concept phase and are waiting and watching, but blockchain is here to stay. If banks do not adopt it, they will end up being laggards because the advantages of blockchain brings are far reaching.”

According to Tantia, banks today are looking for end-to-end solutions and Cognizant can drive that. “I think Cognizant has gone much further than our competitors in terms of our solutions, our vision and how we integrate digital topics, linking data and analytics,” he says.  “That Cognizant is the youngest company among all of its key competitors, yet our absolute and percentage revenue growth is industry leading, is testament to our leadership.

Tantia describes himself as a boomerang employee: He came back to Cognizant after a stint in private banking.

He first worked at Cognizant between 2003 and 2010, before leaving to work for a leading global bank, based out of Singapore. But in 2016, he says he felt “pulled back” to Cognizant.

“Cognizant’s executive management is very young and dynamic, not just in age, but also in thought. Their outlook is ‘next generation’, they think ‘fit for future’, and when they have to turn the ship, they do it relatively quickly,” he says.

Tantia says that Cognizant’s unique ‘two-in-a-box’ strategy, where global and local teams work in tandem, with decision making done at both levels, is a highly effective amalgam of the organisation’s global strategy and local execution excellence.  He says, “ The two-in-a-box model with a market-facing team and a delivery team working together helps deliver the best fit solution for clients. It brings thought leadership from a global level, and is executed at a local level.”

As a result of the strong growth Cognizant has seen in Asia Pacific, the company is looking to recruit new talent, particularly in the areas of data analytics and AI.  “The demand is much greater than the supply and we are trying to meet it through a combination of internal training, lateral hiring, as well as looking at available global talent.” Tantia says.

The company is also looking for people who can help banks with system integration for new fintech solutions, often in niche areas. “We are poised for significant growth in this area in Asia Pacific, and we have a number of open positions,” Tantia says.

Tantia says that Cognizant provides a very good platform for people to build successful careers. “Cognizant empowers you to do what you want to do. If you have the right mindset and you want a challenge, this company is an ideal fit for you,” he says.


Home Automation Made Easy: Introduction to Control Protocols and Automation Process | killexams.com real questions and Pass4sure dumps

This chapter explains why devices must talk to each other in home automation systems. It also covers how they communicate (the protocols) and what triggers events that lead to actions.

This chapter is from the book 

The home automation process involves changing the existing state or condition of a device, an appliance, a system, or an electronic component from an internal or external stimulus or event, by a person taking an action, or as the result of the movement of time. To achieve that state change through automation, a control message must be sent to the device to be acted on. The condition or state changes can be a simple switching to an on-or-off status, or can be a more complex adjustment such as dimming to a preset level; and that device modification can be an incremental on or variable or both. The control messages are sent via any one of a number of defined home automation protocols.

From infancy we test various methods and learn ways to control others to meet our needs. Crying is typically the first, then sounds, and before long we are crawling and moving about and can begin to make things happen on our own. Over time our individual skill set builds and we can interact with all the things around us. The simplest control method is human intervention, flipping a switch to turn on a light, for example. You know which switch to use, what it controls, and which direction to turn the target device, in this case a light, on or off. The process or steps for turning a light on or off includes the following mental and physical steps: disturbed–decide–poise–act–receive feedback–adjust if needed–feedback–satisfied. The nonhuman intervention automation process mirrors the steps a person would take. The total home automation process is similar except that the system can do everything but decide what to do. The deciding is left to the human, who must set up parameters in advance for consistent automated operation.

One-off devices to perform some of many home automation steps or functions have been around for some time, but with limitations that are not present in a completely automated computer-controlled environment. This chapter gives a basic understanding of how a novice home automation hobbyist can leverage diverse protocols and choose from myriad available products and technologies to control all the automation functions on one central home automation platform.

Reasons for Using Automated Control

The need for home automation technology comes from wanting to make a change in the condition of something: turning on a light or lowering the thermostat, for example. This need for change arises from four basic categories: time, need, event, and communication. In many cases, your home automation platform can take these actions based on the same stimuli that would spur a human to action with little or no need for human interaction.

Time Based

Time-based actions include actions based on a set amount of time passing, such as turning off a bedroom television after an hour of use so that the viewers can nod off and not worry, or actions based on a set time of day, such as turning on the coffee maker at the same time each morning. Time-based controls can be employed on any recurring interval, whether hours, day, week, day of week, and so on.

Need Based

Need-based events are just that, events that have to happen simply because we want them to. When your home gets too cold, you raise the temperature on the thermostat; when it gets too dark, you turn on a light. Not all events can be scheduled, so your home automation platform has to be able to process need-based actions as well. Human participation in initiating the control action can be an easy mouse click or two away or can be done by voice command with the HAL platform.

Event Based

Event-based actions are triggered based on an event, either predetermined or accidental. For example, you might set your thermostat to turn on the heat when the temperature dips too low, or have a trigger on your air handler shut off power to the unit if water is detected in the water pan.

Communication Based

Threaded through all of these prior circumstances to one degree or another is the desire we all have to stay informed. Some conditions, events, and actions we want to know about as fast as possible. Other events we don’t need to know about but want handled as efficiently as possible and without our knowledge, In some circumstances we want to be able to find out later, by looking at a log entry, that the situation was handled. For example we might want to be notified by email to our smart phone if an aging parent called during our absence from the house.

The feedback loop is a very desirable and important feature of a modern home automation system for those of us who want or need to stay informed. Fortunately, unlike many products currently in use for home automation, the HAL platform has the capacity to keep us informed not only of those things happening in and about the home, but also of financial, weather, and communication information gathered from the Internet or localized weather equipment. We live in an age when the speed of access to information and communication is unparalleled, so leaving some of the recurring chores of keeping informed and in touch though leveraging some artificial intelligence in our home automation can increase our own communication productivity and at the same time free us to focus on other important matters.

The true beauty of the core automation product line discussed in this book is that the HAL software “communicates commands and processes device feedback” in enough of the commonly popular home automation protocols that it is possible to automate nearly every electrical, mechanical, and electronic device in your home environment.

The next section introduces highlights of the four very popular home device control protocols and standards. As a hobbyist, you’ll find that it is important to know that there are differing protocols and that some are more suitable for certain tasks. By bringing diverse protocols into your home automation solution, you can have the best overall system with the lowest overall cost of implementation. Because the HAL software operates at the application layer in the control model, you are not locked into any particular protocol, brand of hardware products, or technology. It is truly a solution that allows combining best of the protocol breeds.

Protocols and Standards

When setting up processes to be completed with home automation technology, there are some relevant details to deal with for whatever protocol your control devices are using, but only during the initial setup or installation phase. After you have completed the device setups within the HAL software you will interact with HAL with language and words not protocols, but some readers will want to know about how those interactions take place. This section gives an idea of what is going on in the background to accomplish your control strategy.

Home automation standards are the set criteria for how home automation devices respond to a control signal and perform a function. There are many home automation standards, some of an open nature and others proprietary in nature.

Many consumers believe that implementing home automation is too expensive and available only to the very wealthy or technologically literate. Fortunately, the reality is that a complete home automation system is well within the reach of the ordinary home owner, provided that they have some spare time and a budget to build out a system. HAL software makes for a cohesive platform by integrating these various standards and protocols under one digital “roof.” Not only does it act as the protocol communicator, but it also translates the users’ needs into actions. After the devices and protocol interfaces are properly set up to work with HAL, the HAL software does the machine-level translating of the command to the physical. By using HAL software to control the various physical-layer communications, a home can have multiple types of devices installed and working together, even to the point of having a switch of one type activate a device of another, each using different control protocols.

The next few sections highlight some details of how the protocol adapters communicate with the devices.

Physical-Layer Communication

Because everything in home automation relies on electrical signals of one sort or another that carry a message to make the changes for us, we are limited somewhat by the physics or physical properties of electricity as discussed in Chapter 1, “Home Wiring and Electrical Fundamentals.” Electrical signals can be of an analog or a digital nature. By using electrical, radio waves, or infrared light signals as our avenue or method of communication along the home automation control pathways, we are limited only by the physical properties of those signals. With electric power we can channel it to do work. By manipulating the properties of electricity we have the ability to communicate information to our advantage. We can use this communication property not only to control electrical and electronic things but also mechanical things like doors, locks, vents, and valves. This is accomplished by using the electrical controls and solenoids as our assistants to do the work from simple but highly defined message packets to control that work.

To borrow a page from biology, the control communication (electrical or wireless) pathway has to either sense and react to stimulus with a response or initiate a communication that will elicit a response or an action from a controlled device. Therefore, at the control pathway level or sensory level at the most primitive layer, there are only a few things that can happen with an electrical current to initiate or convey messages:

  • It can be turned off or on. Example: Voltage/no voltage.
  • It can be off, variable in voltage and/or current or frequency, or full on to the maximum. Example: high/low voltage; high to low frequency.
  • It can be measured within a low or high range for voltage, current, or frequency to compare or match desired presets. Example: 95 VAC to 130 VAC: Normal household voltage.
  • The sensed changes can be associated with time or timing cues to identify message start or end points.
  • These changes in the physical state are detected at the physical level (hardware, media level) and are interpreted as coded messages high up the application stack. They are used within the devices to execute the state change defined in the message.

    Imposing Messages on the Physical Media

    At the most basic physical level of the electrical wires or a wireless communication path, the medium used can carry an imposed signal of either an analog or a digital nature. The communication can be a one-way street; that is, sent only and received, or it can be twoway, with returned or reverse-direction message packets sent over the transmission medium from controller to device and back from the device to the controller. When an analog mode is used to communicate, the signal can be made to vary in amplitude or frequency so the resultant signal changes can carry frames of data.

    In digital communications mode the signal can be chopped into time slices in which the amplitude of the signal is measured and is considered on or off in that time frame based on its strength, or measured as high or low in a time frame. These on/off states or high/low states of the electrical current or radio signal in digital mode are sensed or sent as changes in voltage, current, or frequency. They are used to represent zeros and ones or other numbers and are used as binary values that translate into data or information or are used as timing pulses to separate and keep track of chunks of the message. These representations of zeros and ones (or numbers) can be used at the distant end to represent anything necessary to perform the desired actions or convey the sought-after information. Parts of the message packets identify the target devices or all the devices or a group of devices through the encoding scheme used in the protocol. Timing pulses are used to define the beginning and end of the object communication so the communication packets maintain whole message integrity or are resent in two-way systems until the whole data packet is acknowledged.

    One-way protocols cannot guarantee whole message delivery. A feature called “checksum” can be implemented as a part of a protocol to test the message for completeness and integrity by running a math formula against the packet’s data bit and comparing that to the checksum value sent with the message packet. These fundamentals are implemented in various innovative ways, but at the most basic level the communication occurs because of these simple property state changes at the electrical signal level regardless of the physical media (wire, wireless, infrared, or fiber) used for the transmission of data. In the OSI seven-layer networking model this media layer is referred to as the physical layer. To do the home automation projects in this book, you do not have to delve too deeply into how networking and communications are accomplished or understand them fully. Awareness of some features of protocols covered in this rapid overview should be sufficient for trusting that unique control messages can be sent and received successfully to make the home automation device-level processes function to your benefit.

    The four protocols of primary interest used in this book’s projects include X-10, UPB, INSTEON, and Z-Wave. There are other protocols as well and likely there might be innovators in the future that will create other useful ways to communicate from controller to device. Some people talk about the network of things, a concept in which everything in your personal universe is identified by a unique communication’s address, such as an IPV6 address, and everything is connected and reachable though that address. We are not quite there yet, even though many of the pieces are in place. We can, however, communicate right now to the components that matter most to us by using these protocols.

    X-10

    In X10 the data message frames are imposed on an AC current carrying wire at the point where the electrical power is dropping from 120 volts positive down to zero and before the second half of the sine wave that is moving in the opposite direction begins its half cycle.

    The frequency of the transmission is 120KHz, and it occurs for only a very short span of time at a specific point in the 60-hertz current cycle, known as the zero crossing point.

    There are 16 available House codes A though P, and 16 available Device codes 01 through 16, allowing for a maximum device count of 256 for X-10 devices.

    There are seven change state commands to issue to one-way X-10 devices—on, off, dim, bright, all lights on, all lights off, and all units off—which are all sent via a 4-bit code.

    There are seven additional command/info settings available to use in the devices and controllers capable of two-way X-10 communication: status on, status off, status request, pre-set dim, hail, hail acknowledge, and the extension code (or extension code itself).

    The minimalist data messages sent as X10 communications are referred to as data frames and must include a start code signifying that an X10 command is about to be sent, a one-letter code signifying the “house” the command belongs to, and one function code. The binary for that could look like 1110 01001011 0001, carrying the information message start, house code letter K, and command “all lights on.” It is a simple but limited protocol but is credited with beginning a trend in home automation implementation that did not require rewiring or additional control wiring.

    UPB

    Universal Powerline Bus is considered much more reliable than X-10. UPB communication messages are sent at speeds of a range of 120 to 240 bits per second.

    In 60-cycle AC circuits each half cycle takes 8 1/3 milliseconds to occur. The UPB pulses are spikes in voltage placed on the power line at a precise time in each half cycle, the timing of which conveys a value from 0 to 3. Two bits of data are contained in each half cycle, and the data bits from four half cycles are grouped together and carry 8 bits of digital data, a UPB byte.

    These bytes are combined into UPB communications packets sized between 7 and 25 bytes for interpretation and use by the device. Each message packet contains a preamble, a packet header, the data message, and a checksum byte followed by an acknowledgment frame. The header packets contain the information about network ID, device ID, source ID, and a packet control word. The data messages also contain the instructions for the device to perform.

    One interesting element and what makes UPB different is that the information about the device ID, network ID, and so forth is stored in nonvolatile memory registers within the device.

    INSTEON

    INSTEON products operate by two communications over the media: over the home’s wiring system and over a preset radio frequency. The devices forward the INSTEON protocol signals, extending the network range for up to three hops; the signal originally sent is hop count zero (0). The three-hop limit prevents endless looping of the command signals.

    If the original signal is 0, then the first rebroadcast is hop 1; if the next device adds hop count 2, and the next device hop count 3, there are no more hop counts. So the original signal sent from the first device can travel though three layers of devices to the fourth device layer out in the distant network.

    The RF signals are sent at frequencies of 915MHz in the U.S. The power-line protocol is transmitted at 131.65KHz over the wire.

    INSTEON plays well with X10 devices although their protocols are different.

    INSTEON is a dual-band communications protocol, meaning that its digital signals can travel over the home’s wiring system and over radio frequencies.

    There are about 200 available products that speak and understand INSTEON communications. Not that anyone would ever use that many but the core protocol can support more than 16 million devices per network.

    The standard and smallest INSTEON message is composed of the following: from address (3 bytes), to address (3 bytes), flag (1 byte), command (2 bytes), and redundancy check (1 byte).

    Z-Wave

    Z-Wave is a wireless protocol and is very much a networking protocol supporting quality two-way communication, much like the Wi-Fi that supports your computers’ connections to wireless networks. It operates at frequencies below 1GHz so it is mostly free from interference from the higher frequency Wi-Fi networks. A level of encryption of the data is supported to keep the communication between the devices secure and intact. Because it is at its core a networking protocol, it can support a version of IPV6 device addressing. It is a proprietary protocol but is supported by nearly 160 manufacturers making Z-Wave-compatible devices worldwide. There are nearly 700 available devices that speak and/or understand Z-Wave wireless messages.

    A home Z-Wave network can support 232 devices, and more than one network can be bridged together at a higher layer to support more than 232 devices. This is rarely done in automated homes for two reasons. First, controlled device counts above 100 are rare, and second, other technologies can be used and might offer advantages in specific applications. When using HAL software as the hub command center, you are not limited to a specific technology as your home automation solution.

    The Network ID (or Home ID) uses 4 bytes (32 bits) of the control message.

    The Node ID uses 1 byte (8 bits) of the control message.

    A single Network or Home ID can contain a total of only 232 nodes because some of what would be node IDs are co-opted for messages or performing exceptional functions. One has to accept that node IDs are identified from 000001 to 11101000 in binary or 0x1 to 0xe8 in hexadecimal.

    Z-Wave’s approved radio frequency operating range for the U.S. and Canada is set to 908.4MHz.

    The devices emit low-power radio waves and the maximum transmit/receive ranges are considered to be 90 feet in buildings to 300 feet outdoors in the clear. Z-Wave presents a good option for controlling something located in outbuildings supplied or powered by a different electrical service because of the potential to send signals via radio wave to 300 feet.

    Each Z-Wave network begins with at least one primary controller and a controlled node. New devices are brought into the network by a process called inclusion (or taken out by exclusions). After the network is set up, secondary controllers can join and can be brought into the network.

    Two types of device nodes can take on one or more of three characteristics:

  • Controllers—Control other Z-Wave devices.
  • Slaves—Are controlled by other Z-Wave devices.
  • Routing Slaves—Pass messages to nearby neighbors, thereby extending the range of control of the entire network but adding modest time delays for the routing table lookups and retransmissions to each next available neighbor in turn.
  • Z-Wave presents two clear advantages because it is wireless. The first advantage is that you can control devices that are on nearby alternative wiring systems. The second is that you can use a handheld remote to control Z-Wave devices, again thanks to its wireless communication media.


    Executive Insights on the Current and Future State of Artificial Intelligence | killexams.com real questions and Pass4sure dumps

    This article is featured in the new DZone Guide to Artificial Intelligence: Automating Decision-Making. Get your free copy for more insightful articles, industry statistics, and more!

    To gather insights on the state of artificial intelligence (AI), and all of its subsegments — machine learning (ML), natural language processing (NLP), deep learning (DL), robotic process automation (RPA), regression, etc., we talked to 21 executives who are implementing AI in their own organization and helping others understand how AI can help their business. Specifically, we spoke to:

  • Assaf Gad, Vice President and Strategic Partnerships, Audioburst
  • Tyler Foxworthy, Chief Scientist, DemandJump
  • Patric Palm, CEO, Favro
  • Sameer Padhye, CEO, FixStream
  • Matthew Tillman, CEO, Haven
  • Dipti Borkar, V.P. Product Marketing, Kinetica
  • Ted Dunning, Chief Application Architect, MapR
  • Jeff Aaron, VP Marketing, Mist Systems
  • Ebrahim Safavi, Data Scientist, Mist Systems
  • Dominic Wellington, Global IT Evangelist at Moogsoft
  • Dr. Nils Lenke, Director, Corporate Research, Nuance Communications
  • Mark Gamble, Senior Director of Product Marketing, OpenText
  • Sri Ramanathan, Group Vice President of Mobile, Oracle
  • Sivan Metzger, CEO and Co-founder, ParallelM
  • Nisha Talagala, CTO and Co-founder, ParallelM
  • Stuart Feffer, Co-founder and CEO, Reality AI
  • Sven Denecken, SVP Head of Product Management, SAP S/4 Hana Cloud
  • Steve Sloan, Chief Product Officer, SendGrid
  • Simon Crosby, CTO, Swim
  • Liran Zvibel, CEO and Co-founder, WekaIO
  • Daniel DeMillard, A.I. Architect, zvelo
  • 1. The keys to a successful AI strategy are to have a well-defined business problem to solve and to have a sound data management program in place to ensure you have the data to solve the business problem. Truly understand what you are trying to do. Think about the use case. Understand the problem you are trying to solve and the benefit of doing so. The proper definition of the problem will help you determine the optimal type of AI you should use to provide the solution or answer the question. It all starts with data. ML is an exercise in overcoming variation in data. The amount of data needed depends on the amount of variation. Having a huge number of sources is critical for AI implementation. More accurate and properly formatted data leads to more accurate models.

    2. The overarching way companies benefit from AI is by automating business processes and operations. Automation saves time, improves accuracy, and frees up workers to use their brains to solve higher-level problems. This improves the efficacy of your operations and provides a significant return on investment. Data has a transformative ability on efficiency and revenue by finding value in vast amounts of data that humans can not possibly see on the magnitude of a 99 percent reduction in events and a 10X improvement in IT productivity. How many smart decisions could be made if you had the ability to use data to make decisions without fatigue or cost? These are ML candidates. You cannot afford for a human to make decisions that save pennies, but a machine can and the impact on the bottom line can be tremendous.

    3. The biggest changes in AI in the past year are that companies are beginning to see real business value from their data and they are able to do so because GPUs have become affordable. The past year has seen many breakthroughs in AI, ML, natural language processing (NLP), and deep learning. Companies are seeing real benefits in how AI can drastically help complex systems adapt, learn, and perform even as the broader dynamics of human communication changes. When done correctly, it can strengthen customer communications, improve security, provide delivery alerts, yield insights into customers, and optimize programmatic advertising and email based on engagement. There's hardware available at a lower cost and there's data available. You're able to buy GPUs for a few pennies on the cloud, and this enables machines to make decisions by themselves based on new sources of signals and more data. There are new ways to handle vast amounts of disparate data at great speed.

    4. The technical solutions being used most frequently in AI are TensorFlow, Python, R, and Spark. A data platform is used to bring data in from across the organization and no one is using a single tool. Everyone tries a bunch of tools and then uses the ones that help them fulfill their particular need. TensorFlow has created a big democratization of the ability to use AI.

    5. There are a wide number of real-world problems being solved with AI with those in automotive, financial services, and healthcare leading the way. The most frequently mentioned applications were security and compliance. Training models for autonomous vehicles, medical imaging, homeland security, genomic analysis, risk, and fraud detection. A premier autonomous vehicle company is using machine learning to train and refine algorithms for use in self-driving cars. Genomic analysis is being used as an early detection system for bioterrorism. In another case, image data from pathological samples are being scanned to detect early stages of cancer. Several clients in financial services are using applications for fraud detection and loan approval helping to institute an AI practice in the organization so people can focus on operational ML as well as compliance and governance. Some providers have helped banking reduce mortgage approval from 45 days to one day. Replacing repetitive tasks with automation is reducing the amount of time expensive of people doing commodity work.

    6. The most common issues preventing companies from realizing the benefits of AI are data, failure to define the problem you are trying to solve, trying to apply AI where it is not the right tool, silos, and insufficient skillsets. Not having a handle on data across silos is a huge problem. When your datahouse isn't in order, you cannot succeed. There is so much data in so many formats it's overwhelming and complex. It becomes a barrier unless you have the right AI platform that can handle the diversity and amount of data. It's important that an organization approaches AI from the starting point of, "What problem do we need to solve?" rather than, "Let's do something with AI." A lot of people attempt to use AI/ML where it's not needed. To get value from ML, you really need to understand what's going on and the problem you need to solve.There is a skill set problem: skills and talent are in short supply. Agencies are no better, so we end up with a blind leading the blind situation. We need more effort around executive education. Arm execs with the right questions to ask. AI solutions providers need to be able to help with execution. Subject matter experts understand datasets and the problem, but don't know how to manage and process data.

    7. The biggest opportunities for AI are reduction of operating costs, automation of repeatable processes, and around call centers and improving customer service. AI is going to become ubiquitous as there is opportunity in every industry. AI is already driving business model transformation. Manufacturing and supply chain are huge cost centers where costs will be able to be reduced significantly. Automation is big around cars and trucks. Auto manufacturers don't need to worry about selling more cars, but who they sell to will change. Automation is increasing adoption of ERP workloads in the public cloud leading to faster consumption and reconciliation of data. Humans are being empowered to be more effective in their jobs. Chatbots are revolutionizing customer support. Digital communications have the potential to feel like actual human conversations and as analytics capabilities become more robust, they will be able to deliver valuable insights into consumer preferences, behavior, sentiment, and intent that can be used to deliver personalized experiences throughout the customer lifecycle.

    8. The biggest concerns regarding AI today are around hype, ethics, and security. There's a fair amount of hype and excitement. Buzzword fatigue is a concern along with over-inflated expectations. Early experiences may slow down the positive and productive progress we need to make AI seamless.We can build a place with huge inequalities or we can build a place where AI/ML capabilities make the world a better place. That's a choice we have to make by deciding the types of businesses and business practices we want to support. There's a lot of talk around "AI for good," but simply wishing for the best as we develop new technology is not enough. Society needs to rethink how the future will look so we can be prepared for the changes to public safety and the workforce. We need to ensure AI is used to benefit every member of society rather than just the top corporations.There is an arms race going on in security. Hackers are becoming more sophisticated and finding increasingly clever ways to bypass safeguards. AI is essential to solving that problem. There's a lot of potential for these systems to detect fraudulent or suspicious activity based on the ability to evaluate massive amounts of data in real time.

    9. To be proficient on AI projects, developers need to understand the fundamentals of data science and be proficient in Python. A developer needs to know the strengths and weaknesses of AI projects, but they do not need to know all of the math and statistics that go into the background. The difference between a developer and a data scientist will grow smaller as there is a democratization of tools and learning making it easier for people to do this work. In the meantime, developers and data scientists need to spend time talking and understanding the problems they are trying to solve and the algorithms that will help the applications solve the problem.

    This article is featured in the new DZone Guide to Artificial Intelligence: Automating Decision-Making. Get your free copy for more insightful articles, industry statistics, and more!

    Topics:

    artificial intelligence ,current state of ai ,future state of ai



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