Microsoft Adds Muscle to Dynamics 365

Microsoft last week shared new information about its upcoming Dynamics 365 cloud service: the addition of 100 new apps; the inclusion of Solution Integrator partners in Appsource; the division of apps and features into Enterprise and Business Editions, the latter for SMBs; and a new subscription model.

Many of the new capabilities will be available in both editions when Dynamics 365 rolls out on Nov. 1.

With the new subscription model, customers can get apps on a per app, per-user basis. They can take advantage of a new plan-based approach to create roles that can access all the apps and functions they require, replacing subscriptions to several apps and features with one.

Customers will pay only for the app they need, licensed to a particular user.

The Dynamics 365 for customer insights app analyzes data from Microsoft and other widely used CRM, ERP, Web, social and IoT sources, and applies intelligence to the data to provide a 360-degree customer view with automatic suggestions to improve engagement.

It leverages the capabilities of Power BI, Office 365, Microsoft Azure and Cortana Intelligence.

“We’ve already seen the productivity benefits and clear ROI from integration of Office 365 and Dynamics CRM online,” said Rebecca Wettemann, VP of research at Nucleus Research.

“Dynamics 365 takes it a leap further by making it easier for customers to buy and deploy the components they need,” she told CRM Buyer.

This will “drive faster time to value and [will mean] less cost and complexity for future upgrades,” Wettemann noted.

More Sizzle Than Steak?

Dynamics 365 uses a common data model that lets customers extend functionality and build custom apps using PowerApps, Microsoft Flow, or Microsoft’s professional developer solutions. Microsoft’s ISV partners also use the model, which means industry- and function-specific apps in AppSource will work with Dynamics 365 installations.

“It’s the same as before but with new branding,” said Denis Pombriant, managing principal at Beagle Research.

“I always thought Dynamics 365 was a strong offering with all of it in the cloud,” he told CRM Buyer, “but I don’t agree with any argument that because it has ERP, it’s more comprehensive. Other products like SAP and Oracle make the same argument.”

Salesforce “makes a different one, because it has several ERP partners on the AppExchange and can provide a choice,” Pombriant said. “The existence of the Salesforce platform and the number of solutions that are native means Salesforce can play as an equal.”

The new Dynamics 365 is much more than a packaging and branding effort, contended Wettemann. “Microsoft is really bringing the power of its AI and analytics investments to bear in these apps in a way that will boost productivity for users.”

Also, the purpose-built apps that don’t necessarily rely on CRM or ERP are “ways for customers to get just the functionality specific users need to get their jobs done,” she pointed out.

Taking On Competitors

Digital transformation is the wave of the future, said Sheryl Kingstone, research director at 451 Research.

Enterprises “must streamline the process for customers, partners and employees to ensure the systems used for customer engagement enhance the process,” she told CRM Buyer, “and provide accurate and reliable information for various back-end systems of record.”

Microsoft Dynamics is “in a strong position as it relates to transactional applications,” Kingstone noted.

“Organizations can digitally transform their businesses to best attract, win, retain and support customers, employees and partners,” she said, “by leveraging the latest applications, analytics and infrastructure.”

All business application providers are “embracing aspects of machine learning and artificial intelligence technologies,” according to Kingstone. Salesforce has Einstein, Oracle has Oracle Adaptive Intelligent Apps, IBM has Watson, SugarCRM has Candace, Microsoft has Cortana, and OpenText has Magellan. Those are some of the players leading the charge.

That said, Microsoft’s existing bench and R&D investments and its focus on usability, she said, “give Dynamics 365 a compelling value proposition.” end enn Microsoft Adds Muscle to Dynamics 365

Richard%20Adhikari Microsoft Adds Muscle to Dynamics 365Richard Adhikari has written about high-tech for leading industry publications since the 1990s and wonders where it’s all leading to. Will implanted RFID chips in humans be the Mark of the Beast? Will nanotech solve our coming food crisis? Does Sturgeon’s Law still hold true? You can connect with Richard on Google+.

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Explore your MYOB Advanced Data with Power BI

MYOB Advanced is a cloud based ERP software that allows you to manage financials and inventory. The Power BI content pack for MYOB Advanced turns on insightful sales reporting out-of-the-box. With limited expertise needed, managers and stakeholders can access a set of sales dashboards and reports and view KPIs, such as monitoring opportunity pipelines to see progress versus sales goals. It allows users to understand the volume of won and lost opportunities, and determine performance over time, such as month-over-month or year-over-year.

51ac4cb3 3443 404b 8bbd 60c0b68b56e8 Explore your MYOB Advanced Data with Power BI

To connect to the MYOB Advanced content pack, simply choose MYOB Advanced from the list of available content packs. You will be asked to provide your MYOB OData URL, which you can get from your MYOB Advanced account as well as your credentials. Once the connection is completed, Power BI will automatically create an out-of-the-box dashboard, report, and dataset with the data from your MYOB Advanced account.

634cac85 8c58 407c b5c1 bae977502001 Explore your MYOB Advanced Data with Power BI

The dashboard for the MYOB Advanced content pack shows you key metrics about your opportunities, including how many were won or lost, as well your pipeline broken down by state, employee, and country. It also shows you a breakdown of your new opportunities by source and opportunity class.

082e6539 f560 4db9 85d9 4280c9912580 Explore your MYOB Advanced Data with Power BI

When you click on any of the visuals on the dashboard, you’ll the related MYOB Advanced report with multiple pages that show you details on your pipeline and opportunities. It has pages for newly added opportunities, lost opportunities, won opportunities, and pipeline analysis. Power BI reports are fully interactive, so clicking on any data point will update the report to show you details about that particular selection.

703598bf c3be 4886 a61f 8c2cf19ef3af Explore your MYOB Advanced Data with Power BI

The reports created by the content pack are also fully customizable. You can simply click on Edit report and personalize it to show exactly the metrics most important to you. You can also create new reports and dashboard on top of your MYOB Advanced dataset to fully customize your experience.

After the initial import, the dashboard and the reports continue to update daily so you are always seeing the most recent data. You can control the refresh schedule on the dataset, and configure to refresh at the exact times you choose.

We’re always interested in hearing your feedback – please contact us at to let the team know how your experience was and if there’s anything we can do better.

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‘Martin’ Co-Stars Reunite For Tommy Ford’s Funeral

Fans were shocked and saddened on October 12, when Tommy Ford, of the hit TV showMartin, passed away from complications of a stomach aneurysm. All of his co-stars from the series have shared beautiful sentiments about working with him and today (October 19), they gathered to lay their friend to rest at his funeral.

Tichina Arnold, who played Pamela James on Martin and was Martin’s former love interest on the show, posted a picture to Instagram that featured herself, Tisha Campbell (who played Gina) and Carl Payne (Cole).

Sensing that social media would jump all over the fact that the series star of Martin, Martin Lawrence, was not in the group photo, Arnold addressed it in her caption. She wrote, “…And PLEASE don’t ask “Where’s Martin?..” he was there too…just not in this picture. Lol! God bless you all.”

It was lovely that they all came together to honor someone who made us laugh every week on one of the funniest shows to ever air. Ford may not be here with us anymore physically, but his memory will live on in hilarious Martin reruns.

Source: The Urban Daily

On This Day In Comedy… In 1983 ‘Webster’ Premiered On ABC!
BET To Broadcast Musical Celebration At White House To Be Hosted By Regina Hall And Terrence J

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Google’s Pixel rules the bot world by thinking like an infant

Google Assistant is the humbly named artificial intelligence agent that lives in Google’s new Pixel phone, and it represents the most powerful accumulation of applied data science in history. Google feeds its various intelligence processes, from Deep Mind to Knowledge Graph to Expander, with exabytes of data from its billions of active users. The data comes in a variety of forms, such as:

  • Search requests and responses
  • Text and network connections from Gmail
  • Browser behaviors via Chrome
  • Application actions from Android
  • Images from Street View
  • Driver information from Google Maps and Waze

Some of this data is labeled — say an image with a street location, a greeting in an email with a positive response, a click for a search result, or a connection between Google Plus and your friends. However, most of the data is not labeled in any human-intelligible manner. Despite the lack of explicit labeling, Assistant is able to infer labels that inference gives it the flexibility to act more and more human in its interactions.

How could a data store this vast and varied possibly be integrated into a model that actually predicts something meaningful for an individual person at an individual time, such as what you should have for lunch, or how you should reply to your Mom’s text about Thanksgiving? What kind of intelligence are we talking about here?

There is a precedent: the human baby.

To speak like a human, learn like a human

It shouldn’t be a surprise that as Google and other companies increasingly seek to mimic the human experience in their software interactions, they will eventually start to mimic the human learning experience itself. Bots use words to receive and send information, and if humans are good at one thing, it’s learning words.

Babies acquire incredibly voluminous streams of data through their nascent neural connections and, at first, absolutely none of this is labeled with words, because the baby hasn’t heard words yet. Despite the fact that there are no words, infants learn through other labels such as touch, pain, smell, and color.

Occasionally, as the infant grows, the infant will hear words associated with some objects, and these words might be heard repeatedly over time. The growing human learns to associate “mama” with a particular face, and then later the word “dog” with a particular form. But how does the baby learn about dog the concept? Babies learn concepts, like dog and house and mama, incredibly quickly by matching labels with associations through a process called semi-supervised learning.

Supervised learning occurs when a label is provided for a specific object with specific features, and a rubric is learned to estimate labels for unknown objects based on features. For example, every time a child points to an object and asks “Dog?” it receives a yes or no from an adult, and over time that creates a highly accurate model of what dog means. However, supervised learning can be time and resource intensive, as well as prone to inaccuracy.

Semi-supervised learning

In the human language realm, as in the realm of Pixel’s artificial intelligence, those concrete object-label associations are few and far between. Yet a baby can be given just one example of cute and then perhaps quickly attribute the label to all of the cats in the world. This can be done by putting a high value on the associations between objects so that, when a label is given to one object, a certain amount of attribution is given to all the associated objects.

In very broad terms, this use of direct and indirect associations between features, labels, and objects is what powers semi-supervised learning.

cat e1476984000738 553x600 Google’s Pixel rules the bot world by thinking like an infant

Above: In semi-supervised graph learning, object associations lead to probabilities for labels of every object. The strong link, or “edge,” between the term “cute” and the initial cat leads to a higher probability that the associated object, or “node,” is also cute.

Semi-supervised learning works by keeping track of associations between objects or concepts through a process known as graph modeling. Each data point — that is, each phrase that might be used as an email reply — is associated through a graph model with all of the other phrases based on when they appeared, what the context of the interaction was, what the location was, and any number of connections.

Google’s tool for using graph modeling for semi-supervised learning is known as Expander. It’s described in more detail on the company’s research blog. As an example, in the simplified model above, if there a stronger association between the term “cute” and the first cat, then subsequent connections in that cat’s network will be more likely to be labeled cute. Multiply this association probability system by exabytes and you’ve got the smartest bot yet.

All of this, and Google Assistant is barely in its infancy…

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T-Mobile Fined $48M for Pulling Wool Over Customers' Eyes

The United States Federal Communications Commission on Wednesday announced that T-Mobile has agreed to a penalty of US$ 48 million for misleading customers about restrictions on its so-called unlimited data plans.

t mobile T Mobile Fined $48M for Pulling Wool Over Customers' Eyes

The company failed to inform subscribers to unlimited plans on its wireless networks and those of MetroPCS, which it owns, that their data bandwidth would be throttled when they hit a preset ceiling.

Through its advertising and statements, T-Mobile may have led customers to expect better and faster service than their unlimited plans actually provided, according to the FCC.

T-Mobile’s failure to disclose its throttling practice breached the FCC’s 2010 Open Internet transparency rule, which requires broadband Internet providers to present accurate and sufficient information about their Internet services so that consumers can make informed choices.

“Consumers should not have to guess whether so-called unlimited data plans contain key restrictions like speed constraints, data caps and other material limitations,” said Travis LeBlanc, chief of the FCC’s Bureau of Enforcement.

“When broadband providers are accurate, honest and up front in their ads and disclosures, consumers aren’t surprised and they get what they’ve paid for,” he added.

Where the $ 48M Will Go

The $ 48 million consists of a fine of $ 7.5 million, plus $ 35.5 million in consumer benefits for subscribers to T-Mobile’s and MetroPCS’ unlimited plans, and at least $ 5 million in services and equipment to American schools.

Eligible subscribers will receive discount offers for accessories and additional data.

Those discounts currently are available on the T-Mobile and MetroPCS websites.

The settlement also calls for T-Mobile to update its disclosures to clearly explain its “Top 3 Percent Policy,” which allows for throttling bandwidth of the heaviest users during busy periods.

Both T-Mobile’s and MetroPCS’ sites now state that the top 3 percent of data users on all plans — those who consume more than 26 GB of data a month — “may notice reduced speeds until next payment cycle due to data prioritization” during network congestion.

With the settlement, “T-Mobile has stepped up to the plate to ensure that its customers have the full information they need to decide whether ‘unlimited’ data plans are right for them,” the FCC’s LeBlanc noted.

Customer Satisfaction

The settlement is “a clear win for customers and truth in advertising,” said Rebecca Wettemann, VP of research at Nucleus Research.

However, “T-Mobile will likely have to do more than pay to regain customer loyalty,” she told CRM Buyer.

Most consumers are unlikely to know about the settlement, noted Michael Jude, a program manager at Stratecast/Frost & Sullivan.

“The penalty looks bad, but good marketers can turn a sow’s ear into a silk purse,” he told CRM Buyer, suggesting “something along the lines of ‘T-Mobile has agreed to work closely with the FCC to ensure that its unlimited plans truly meet customer needs.'”

T-Mobile’s customer service, customer loyalty and overall customer experience have improved over time, Jude said, citing Stratecast data.

The company “still commands less consumer loyalty than AT&T and Verizon, but in recent surveys, it was on a par with them in many client care dimensions,” he pointed out.

T-Mobile “does seem to be trying to be more responsive to its customers,” Jude said. “However, the bottom line is whether their network can deliver the same or a better experience than other carriers can. It’s not clear that it can yet, based on Stratecast consumer data.”

Necessary Evil

Data throttling is generally “a bad idea,” Nucleus’ Wettemann said. “All carriers will have to be careful about how they manage their services — but, more importantly, about how they communicate to customers about bandwidth expectations.”

However, throttling “is implicit in the network design,” Jude pointed out. The networks act like giant multiplexors and automatically will throttle throughput when demand is high to ensure maximum connectivity.

The throttling practice might undercut T-Mobile’s self-portrayal as the “un-carrier,” but “there’s the problem of physics,” Jude said. “No rational consumer would think they can stream high-definition quality movies continuously for days on end without consequences. T-Mobile just needs to make that explicit.” end enn T Mobile Fined $48M for Pulling Wool Over Customers' Eyes

Richard%20Adhikari T Mobile Fined $48M for Pulling Wool Over Customers' EyesRichard Adhikari has written about high-tech for leading industry publications since the 1990s and wonders where it’s all leading to. Will implanted RFID chips in humans be the Mark of the Beast? Will nanotech solve our coming food crisis? Does Sturgeon’s Law still hold true? You can connect with Richard on Google+.

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NetSuite announces third quarter 2016 financial results

og image NetSuite announces third quarter 2016 financial results

SAN MATEO, Calif.—October 21, 2016 —NetSuite Inc. (NYSE: N), the industry’s leading provider of cloud financials / ERP and omnichannel commerce software suites, today announced results for its third quarter ended September 30, 2016.

Total revenue for the third quarter of 2016 was $ 243.9 million, representing a 26% increase over the same period in the prior year.

Recurring revenue from subscription and support was $ 190.0 million, a 23% increase over the third quarter of last year.  Non-recurring revenue from professional services and other was $ 53.9 million, a 41% increase over the same period in the prior year.

Cash flows from operations were $ 62.0 million in the third quarter of 2016, a 126% increase over the same period in the prior year.

On a GAAP basis, net loss for the third quarter of 2016 was $ 34.1 million, or $ (0.42) per share, as compared to a net loss of $ 37.3 million, or $ (0.47) per share, in the third quarter of 2015.

Non-GAAP net income for the third quarter of 2016 was $ 16.1 million, or $ 0.20 per share, as compared to a non-GAAP net income of $ 2.6 million or $ 0.03 per share, in the third quarter of 2015.

As with Q2, following the announcement made on July 28, 2016 regarding NetSuite’s entry into a definitive agreement to be acquired by Oracle, the Company will not provide outlook for its fourth quarter 2016 financial results.  Furthermore, the Company does not expect to achieve its previously-issued full year revenue outlook range of $ 955 million to $ 975 million and is withdrawing all previously-issued financial outlook for the full year 2016.

Conference Call Details
Given the announcement made on July 28, 2016 regarding NetSuite’s entry into a definitive agreement to be acquired by Oracle, NetSuite will not be hosting a conference call to discuss the third quarter 2016 financial results.

About NetSuite
In 1998, NetSuite pioneered the Cloud Computing revolution, establishing the world’s first company dedicated to delivering business applications over the Internet.  Today, NetSuite provides a suite of cloud financials/Enterprise Resource Planning (ERP) and omnichannel commerce software that runs the business of more than 30,000 companies, organizations, and subsidiaries in more than 100 countries.

For more information about NetSuite, please visit

Cautionary Note Regarding Forward-Looking Statements
This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933 and Section 21E of the Securities Exchange Act of 1934 relating to, among other things, expectations, plans, prospects and financial results for NetSuite, including, but not limited to, our expectations regarding our products, market demand, future earnings, revenue and market share growth.  These forward-looking statements are based upon the current expectations and beliefs of NetSuite’s management as of the date of this press release and are subject to certain risks and uncertainties that could cause actual results to differ materially from those described in the forward-looking statements.  All forward-looking statements made in this press release are based on information available to us as of the date thereof, and NetSuite disclaims any obligation to update these forward-looking statements.

In particular, the following factors, among others, could cause results to differ materially from those expressed or implied by such forward-looking statements: the market for on-demand services may develop more slowly than expected or than it has in the past; adverse and unpredictable macro-economic conditions or reduced investments in on-demand applications and information technology spending; quarterly operating results may fluctuate more than expected; unexpected disruptions of service at one or more of our data centers may occur; a security breach may impact operations; risks associated with material defects or errors in our software or the effect of undetected computer viruses could impact operations; the risk of technological developments and innovations by others; our ability to successfully identify other businesses and technologies for acquisition that will complement our business and the ability to successfully acquire and integrate those businesses and technologies; the risk of loss of power or disruption in Internet service; failure to manage growth and effectively scale the organization; failure to protect and enforce our intellectual property rights; assertions by third parties that we infringe their intellectual property rights; the ability to manage operations when faced with competitive pricing and marketing strategies by competitors or changing macro-economic conditions; the risk of losing key employees; evolving government regulation of the Internet, data privacy and ecommerce; changes to current accounting rules; changes in foreign exchange rates; and general political or destabilizing events, including war, conflict or acts of terrorism; and other risks and uncertainties.

Customers who purchase our services should make sure the decisions are based on features that are currently available. Please be advised that any unreleased services or features from NetSuite referenced in today’s discussion or other public statements are not currently available and may not be delivered on time or at all.

For a detailed discussion of these and other cautionary statements, please refer to the risk factors discussed in filings with the U.S. Securities and Exchange Commission (“SEC”), including but not limited to our Annual Report on Form 10-K filed on February 24, 2016 and any subsequently filed reports on Forms 10-K, 10-Q and 8-K.  All documents are available through the SEC’s Electronic Data Gathering Analysis and Retrieval system (“EDGAR”) at or NetSuite’s website at

Non-GAAP Financial Measures
Our stated results include certain non-GAAP financial measures, including non-GAAP operating income, net income, weighted average shares outstanding, and net income per share.  Non-GAAP operating income excludes expenses related to stock-based compensation expense, amortization of intangible assets, transaction costs for business combinations and costs associated with Oracle’s pending purchase of NetSuite.  Non-GAAP net income excludes expenses related to stock-based compensation expense, amortization of intangible assets, transaction costs for business combinations, costs associated with Oracle’s pending purchase of NetSuite, non-cash interest expense on convertible debt and income tax benefit associated with business combination.  Non-GAAP operating income and non-GAAP net income exclude these expenses as they are often excluded by other companies to help investors understand the operational performance of their business, and in the case of stock-based compensation, can be difficult to predict.  We believe these adjustments provide useful comparative information to investors.

We consider these non-GAAP financial measures to be important because they provide useful measures of our operating performance and are used by our management for that purpose.  In addition, investors often use measures such as these to evaluate the operating performance of a company.  Non-GAAP results are presented for supplemental informational purposes only for understanding our operating results.  The non-GAAP results should not be considered a substitute for financial information presented in accordance with generally accepted accounting principles, and may be different from non-GAAP measures used by other companies.

A copy of this press release can be found on our Investor Relations website at  The contents of the website are not incorporated by reference into this press release.

NOTE: NetSuite and the NetSuite logo are registered service marks of NetSuite Inc.

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Razer updates Blade Pro laptop to be ultimate desktop replacement

razer blade pro gaming laptop notebook desktop replacement Razer updates Blade Pro laptop to be ultimate desktop replacement

Razer Blade Pro laptop

With the latest upgrades to the Blade Pro laptop, Razer hopes it’s created the ultimate replacement for your desktop. It also hopes you have enough money to pay for that privilege.

The traditional problem with a desktop replacement notebook is being able to cram enough powerful specs into the unit without making it a hot, heavy slab to carry around and use. Razer seems to have figured out both sides of that equation with the latest Blade Pro. In terms of specs, it comes with an Intel Core i7-6700HQ quad-core processor, a choice of two SSD drives (with a total capacity of 512GB, 1TB, or 2TB) and a whopping 32GB of RAM, but even more impressively, it manages to cram a desktop-class Nvidia GeForce GTX 1080 GPU inside, making it very hard to complain about your laptop’s graphics capabilities.

Other features designed to make sure you don’t miss your old desktop are a 17.3-inch 4K touchscreen display, a USB-C and three USB 3 ports, and a full mechanical keyboard. Typical of Razer keyboards, it includes the company’s Chroma customizable back-lighting system, though you do lose a number pad in lieu of a large touchpad in the right-hand corner. (The battery is apparently located in the space where a touchpad typically goes, below the keyboard.)

Cloud is Affecting Us All—Even If We Don’t Realize It

rsz bigstock three sad businessmen under th 148293887 Cloud is Affecting Us All—Even If We Don’t Realize It

As a product manager, I often go and see my customers to present the product roadmap or statement of direction so they have a good idea of what we are concentrating on in the future. A short while ago, I noticed a distinct difference in the reaction from certain customers when I talked about the subject of cloud. It became fairly obvious after a while as to why there was such a difference. The customers who had our software on-premise basically switched off at this point with a belief that what I was talking about didn’t affect them. The fact is that it does affect them. It affects everyone.

User experience

Cloud has led to a change in expectations in how business software should look and feel. Software applications can no longer just be functional for business users. The basics of what is required have changed. 

They have to look good and be easy to use. People are so used to using well designed web pages and cloud based applications that they don’t even think about it anymore. It’s now very noticeable when applications don’t meet these standards. Business applications for business users shouldn’t be any different.

They have to provide a level of collaboration as standard. Social media has done many things to our lives and we can all debate whether it is a good or bad thing. But one thing that can’t be debated is that is has had a lasting effect on applications. The ability to talk to other users, ask questions, or at least receive notifications is just something that is expected. Business people like to talk to other business people and we’ve all gotten used to electronic devices to do it.

They have to provide a level of self-help. People have gotten used to the idea of helping themselves with software. This has evolved from user guides and manuals to more in-app help. But, this also means access to forums or Wikis and community sites to get assistance and guidance from other users. The idea of calling up a help desk to ask how to type questions is becoming less common and less preferable to an application or platform that allows users to help themselves.

Expectations of IT

Cloud has also led to business users having higher expectations around how long it should take to get up and running using a new application. More traditional methods of going through a sales and procurement cycle, raising internal purchase orders and engaging project teams to get a piece of software installed seem very outdated. There are good reasons for a lot of these internal processes but they seem much more fitting when talking about enterprise level platform changes rather than business applications to solve a specific problem. These core applications are the kind that need to remain in the hands of a centralized IT team. Where cloud is really making a difference is around the edge applications that should really be owned by and driven by the business.

Often, business users just don’t have time to wait that long for a new application and so they will often try to source them without IT, i.e. via the Cloud. But even where these have been kept in-house or on-premise, the business expectations of the level of support from IT have increased. There are expectations for these applications to be upgraded often and for issues to be resolved quickly. The level of performance needs to be managed and it needs to be easy to expand the user base.

The cloud makes it easy for software providers to perform the necessary upgrades and patches on a frequent basis while being able to automate a lot of the performance management as user base grows. Any support teams can get direct access to the data, rather than having to send someone on site or go back and forth with customers’ IT teams. There is effective cost saving around these points, both by not needing IT to intervene but also around the time saved. Internal IT teams have to provide a service that meets these expectations for the business.

The future

Given this general rise in the levels of expectations around how business applications should behave and should be supported means that it doesn’t take a genius to predict that more and more organizations are going to look to the cloud for solutions. It has obvious benefits that make it difficult for an on-premise approach to keep up with. The reluctance that is seen in a move to the cloud is now much more likely to be for regulatory, compliance, or legal reasons as opposed to capability. Highly regulated industries such as Financial Services or Life Sciences will have more hoops to jump through than others, but this does not mean that the cloud is not affecting the way in which business users think about software.

I have adjusted the way in which I present our future direction of the product when talking about cloud to mention these points. I don’t get blank stares or shaking heads anymore which is a good start. It’s clear that cloud has had a massive impact on the way in which we all expect software to behave and be delivered. It is rightly making us more impatient and is driving us to expect more from business applications. It will continue to shape the development and provision of business solutions and that is why it is key to make sure that cloud is at the forefront of business applications’ development roadmap going forward.

At TIBCO, we are focussed on creating business applications that address the the edge of the business while exceeding the various expectations from a cloud application. One of these applications is TIBCO Nimbus Maps, which allows business experts to easily map out processes and collaborate with stakeholders with an easy-to-use interface. If you want to simplify some of your day-to-day operations and collaborate with others on your team, try TIBCO Nimbus Maps for free.

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Terry Tate Makes America Great Again

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Political Irony

Where is NumericalMath`OptimizeExpression`

 Where is NumericalMath`OptimizeExpression`

In one of my older Notebooks I found a reference to NumericalMath`OptimizeExpression`. When I wrote it, I handed the result of some transformations to

OptimizeExpression[#,OptimizeLevel -> -1]&

which yielded an expression where some variables $ 1, $ 2, … collected intermediate results to streamline the computation of this particular result. Without these optimizations, the same intermediate results would have been computed many times in the subparts of the exprssion.

To which place has OptimizeExpression moved to in Version 10 or 11?

By which other function was it superseded?

Lengthy repeated expressions often result from solving equations (like roots of a square or cubic expression) when the parameters of it result from physics of a problem and therefore involve lengthy expressions. Of course, if you would manually do the substitutions before plugging them into some normal for, you would probably arrive at similar results as with OptimizeExpression (probably with better names than $ 1, $ 2 and so on).

Does Mma now have something which I am unaware of to let Solve, Roots and the like memorize substitutions done before they arrive at their result?

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Recent Questions – Mathematica Stack Exchange