SAP seeks to speed analytics with AI technology

SAP wants to speed up how analytics adapt to change. It’s doing that by embedding SAP Predictive Analytics’ machine learning capabilities in S/4Hana.

“When you take something rules-based, you are not able to adapt predictions to new data,” said Mike Flannagan, SAP’s senior vice president for analytics, ahead of the company’s Sapphire Now customer conference in Orlando.

“The power of machine learning is you are able to continually update the model. Your model is running against all the data it has seen so far.”

But there’s another stumbling block to that: the computing power required for machine learning systems. “Most business apps aren’t robust enough to handle the machine learning computation,” said Flannagan. S4/Hana, on the other hand, is fast enough to embed machine-learning prediction in a core ERP system, something that was previously only possible with rules-based prediction, he said.

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CIO Cloud Computing

Nyansa introduces private cloud option for its network analytics platform

Having a full understanding of end user experience has been theorized in IT circles for decades but has remained as elusive as the Holy Grail or the Fountain of Youth. Some people claim to have seen it, but no one really knows for sure.

Last year, an innovative startup, Nyansa, came to market with a new approach to end-user management. Its Voyance product continuously collects data, analyzes it and correlates every end user transaction across the wired and wireless networks and provides insights and actionable recommendations that can be taken to improve application performance.

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Network World Cloud

MariaDB adds support for big data analytics

MariaDB today moved to unite transactional and analytical processing in a single relational database with the announcement of the general availability of its open source MariaDB ColumnStore 1.0.

“What we’re offering is a single SQL interface for both OLTP and analytics,” says David Thompson, vice president of Engineering at MariaDB.

“MariaDB ColumnStore is the future of data warehousing,” Aziz Vahora, head of Data Management at Pinger, a specialist in mobile communication apps, added in a statement today. “ColumnStore allows us to store more data and analyze it faster. Every day, Pinger’s mobile applications process millions of text messages and phone calls. We also process more than 1.5 billion rows of logs per day. Analytic scalability and performance is critical to our business. MariaDB’s ColumnStore manages massive amounts of data and will scale with Pinger as we grow.”

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CIO Cloud Computing

Law Firm Drinker Biddle Leverages Analytics

Law firm Drinker Biddle has set up an information governance and eDiscovery analytics practice, and it’s helped clients speed up litigation and regulatory compliance investigations. The firm’s chief data scientist shares details about the practice in this interview
InformationWeek: Cloud

IoT pushes analytics ever closer to the edge

As the internet of things starts to generate data from far-flung sensors and automate remote equipment, it doesn’t always make sense to house all the intelligence for these systems in data centers.

The alternative is edge computing, where smaller systems located on site in factories or other facilities can make sense of IoT data and act on it. Edge computing components like gateways can shorten response times or just filter out sensor readings that don’t matter so they won’t burden the network.

But how to build edge computing systems and write their software, like so much else in IoT, is still a work in progress. The constraints on things like size and power are unique to this new field.

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Computerworld Cloud Computing

IoT, Big Data Analytics Driving M&A Market

An Ernst and Young report indicates it’s full steam ahead in the mergers & acquisitions space in 2016 as companies look to leverage tech to speed their digital transformation. The main drivers behind this trend include big data analytics and IoT, both of which IT professionals should keep an eye on.
InformationWeek: Cloud

IoT, Big Data Analytics Driving M&A Market

An Ernst and Young report indicates it’s full steam ahead in the mergers & acquisitions space in 2016 as companies look to leverage tech to speed their digital transformation. The main drivers behind this trend include big data analytics and IoT, both of which IT professionals should keep an eye on.
InformationWeek: Cloud

Salesforce snaps up analytics startup BeyondCore

Salesforce.com has acquired business intelligence and analytics startup BeyondCore, as part of its strategy to make its software more intelligent.

“I am thrilled [to] announce @Salesforce has acquired @beyondcoreinc to enhance the AI capabilities of Analytics Cloud,” wrote Salesforce CEO Marc Benioff in a tweet on Monday.

The financial terms of the deal were not not disclosed.

BeyondCore in San Mateo, California, had already started integrating its product with the Salesforce platform. At the Gartner BI Summit earlier this year, the company showed off this integration, which would be part of its upcoming BeyondCore 7 release, wrote CEO Arijit Sengupta in a blog post.

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CIO Cloud Computing

With Amazon Kinesis Analytics, devs can analyze real-time data with SQL

Amazon launched a new tool on Thursday aimed at helping developers build applications that offer insights from a firehose of data in real time. Kinesis Analytics will let users set up SQL queries that run on data that’s constantly updating, expanding the reach of the popular data analysis language beyond traditional database applications. 

Once a user has set up a Kinesis Analytics stream, the results can then be routed to up to four different services, including Amazon S3, Redshift, and Elasticsearch Service.

It’s a service that’s useful for bringing in data from sources that are rapidly shifting in real time, like sensor information from the internet of things, or live data from a stock market. That’s key as more and more companies start leaning on big sets of live data to help drive business applications. 

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Computerworld Cloud Computing

Here’s why analytics is eating the supply chain

A peculiar thing happens in northern Florida every year in the springtime. That’s harvest season on the many fern farms scattered across the region, and it’s also the time when demand for rattlesnake antivenom skyrockets there.

That’s no coincidence. Rattlesnakes like to form dens under fern crops, it turns out. That means trouble for those who harvest the plants, and it puts urgent pressure on local hospitals and healthcare providers, which must come up with the highly perishable antivenom on demand.

“A lot of times you never really know how much you’re going to need,” said Kyle Pudenz, senior director of purchasing for pharmaceutical wholesaler H. D. Smith. “But you also can’t stock up and leave it on the shelf.”

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Network World Cloud Computing

Big Data’s Priorities: Streaming Analytics, Self-Service

Businesses are taking the next step with big data technology in 2016 with plans to implement streaming analytics and self-service, as they work to embed big data insights directly into business applications and software.
InformationWeek: Cloud

IBM gets 215 million patient profiles in $2.6 billion analytics firm buy

IBM’s Watson Health, the company’s 10-month-old healthcare data crunching unit, plans to acquire Truven Health Analytics and its 215 million patient profiles, with the ultimate goal of helping health-care providers make better business and patient-care decisions.

The $ 2.6 billion deal, announced Thursday, gives IBM Watson Health access to a huge new data set in the unit’s efforts to mine data to improve health-care quality while controlling costs.

Including data from Truven, Watson Health will have access to about 300 million patient data sets, IBM said. Using IBM’s Watson Health Cloud, health-care organizations will be able to combine several data sets.

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InfoWorld Cloud Computing

Microsoft pursues analytics ambitions with acquisition of Metanautix

Microsoft has furthered its pursuit of enterprise analytics with the acquisition of Metanautix, a company that makes it possible for businesses to pull together all their data and gain insights into it. 

Metanautix’s product can pull information in from a variety of private and public cloud data sources including traditional data warehouses, NoSQL databases like Cassandra and business systems like Salesforce. Once it’s aggregated, businesses can use SQL to query the resulting data pipeline in order to glean insights from the information.

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CIO Cloud Computing

Turning to cloud-based analytics to manage IT asset costs

Splitting Hewlett-Packard into two distinct companies is an onerous task, requiring management to wade through a complex cost structure, budgeting process and governance. Yet Ralph Loura, CIO of HP Enterprise Group, is doing just that using technology business management software that helps him gain visibility in IT assets costs of the $ 28 billion organization. HP will become two companies, HP Inc. and HP Enterprise, in November.

Ralph Loura, CIO of HP.

Ralph Loura, CIO of HP.

“Technology business management software allows us to democratize IT costing structure across the IT team so I can get real-time, rich analysis of where service costs are coming from,” Loura tells CIO.com.

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Network World Cloud Computing

CIOs turn to cloud-based analytics to manage IT asset costs

Splitting Hewlett-Packard into two distinct companies is an onerous task, requiring management to wade through a complex cost structure, budgeting process and governance. Yet Ralph Loura, CIO of HP Enterprise Group, is doing just that using technology business management software that helps him gain visibility in IT assets costs of the $ 28 billion organization. HP will become two companies, HP Inc. and HP Enterprise, in November.

Ralph Loura, CIO of HP.

Ralph Loura, CIO of HP.

“Technology business management software allows us to democratize IT costing structure across the IT team so I can get real-time, rich analysis of where service costs are coming from,” Loura tells CIO.com.

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CIO Cloud Computing

Using cloud-based analytics to juice up sales at Sunny Delight

Analytics software has helped Sunny Delight Beverages boost profits by roughly $ 2 million a year and trim $ 195,000 in staffing costs annually, says CIO Shawn Rogers. The cloud application, which Rogers settled on with the help of several business managers, allows the company’s business departments to determine the investment for promotions as well as make adjustments to curb wasteful spending on overtime and pricey transportation options.

“We couldn’t see an order from sales promotion to payment in a cost-effective, non-laborious way,” Rogers told CIO.com. Sunny Delight engineers were manually extracting and cross-referencing data from several business intelligence tools to generate BI reports – an approach would no longer stand under a corporate directive to streamline sales operations.

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Network World Cloud Computing

SAP brings Hadoop into the Hana fold with Vora, a new in-memory analytics tool

A new tool from SAP will allow companies to analyze distributed Hadoop data alongside corporate data using the ERP giant’s Hana in-memory computing platform.

Announced on Tuesday, SAP Hana Vora is an in-memory query engine that taps the Apache Spark execution framework to deliver interactive analytics on Hadoop.

By extending Hana’s reach to include distributed data in the Hadoop ecosystem, the tool is designed to help data scientists and developers combine corporate and external data in their analyses. That, in turn, means that incoming data from customers, partners and smart devices can be integrated with that from internal enterprise processes, giving companies better context with which to make decisions, SAP said.

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CIO Cloud Computing

Salesforce New Community Cloud Brings Big Data Analytics to Entire CRM

SalesforceCC 300x198 Salesforce New Community Cloud Brings Big Data Analytics to Entire CRMIt is not always easy for organizations to stay in touch with customers, partners and employees through home communities. With Salesforce’s new Community Cloud, companies can create their communities, in the LinkedIn style, but for their customers, partners and employees.

Built on the Salesforce Community Cloud Platform – via Connect API – companies can directly connect to Salesforce CRM and data sources and third-party systems. In this way, companies can deliver better service to their customers, more sales through partners and increase employee engagement. Salesforce research shows that digital communities guarantee 48 percent faster problem resolution, a 48 percent increase in employee engagement, 45 percent more customer satisfaction and 43 percent increase in sales through partners.

Community Cloud has a new feature called Targeted Recommendations which seeks to promote user engagement on these sites. The new feature, which is based on algorithms that analyze structured and unstructured data, is designed to bring members of the community the most relevant content, as inputs, resources, files and groups. The community managers can suggest content to specific information or an ad in the news and direct it to a group member type or a specific individual.

The second new feature now available is called Lightning Community Builder and Templates, and allows any business user community to deploy a customized, branded and optimized for mobile devices without the need to seek the help of IT. Companies can use Lightning Builder to create your own custom communities with custom applications. For example, a non-profit institution could build an application to organize volunteer events and incorporate it into the home page of your community.

Finally, Salesforce Connect for Google Drive Files is a new feature that allows community members to share any file created or stored in Google Drive. Thus, a marketing team could share a file from Google with the campaign planning group to easily access and work on it. You can also attach files within Google Drive to a record, as sales opportunities or service case.

According to IDC, the enterprise collaboration market was $ 1.24 billion in 2014, and the market expected to reach $ 3.5 billion in 2018, an annual growth of 23.1%. The sector as defined by IDC includes software for collaboration internally and externally. Other major players such as IBM Connections, Microsoft Yammer, Jive Software, Tibco Tibbr, Zimbra and SAP Jam also have a foot in this market.

Last year, Microsoft and Salesforce have signed a strategic partnership to create new solutions that will enable you to connect the platform and the CRM app to Windows and Office apps. The agreement provides that the Salesforce CRM solution is integrated with the Windows OS, the Azure cloud platform and the office suite Office 365.


CloudTimes

IBM Lays Industry Specific Powerful Behavior Based Predictive Analytics

predictive analytics predictive models 300x183 IBM Lays Industry Specific Powerful Behavior Based Predictive Analytics

Image source IBM

The challenge for organizations is to capture, manage and make sense of their data in real time so that many employees can make better decisions faster. In the course of time, predictive analytics evolve and becomes accessible to all enterprise users, regardless of their industry.

IBM is trying to position the company as the leader in predictive analysis and announced a new set of 20 new predictive analytic solutions unique to each industry. Using the new IBM applications, companies can get quick answers to questions such as how many different color combinations fabrics should we continue to sell in our stores? People who spend time at the table after 20:00 are they more likely to be exposed or late to repay their bank loans? When should we stop the production of an oil well to pump maintenance?

The new generation of IBM solutions can be applied to several sectors – banking, telecommunications, insurance, automotive, energy and other sectors. At the heart of these solutions is a set of data preparation tools for the integration of specific data sources for industry such as pre-built models and predictive analysis of its own, and tables interactive and specific board to help business users to share findings between teams and organizations.

IBM says, “the new solutions draw on company’s vast industry and analytics expertise from over 50,000 client engagements. Each solution includes pre-built predictive analytic modeling patterns and interfaces for focused industry use cases, as well as data preparation capabilities to manage unique data and streamline the collection and preparation of data for analytics. With interactive and role-specific dashboards, business users can share predictive insights across teams and organizations that can give them a deeper understanding of their customers, assets and operations to help them make better decisions and act with greater speed and fewer resources.”

In the area of Banking, the AML Monitoring and Analytics for Financial Services, the Multi-Channel Fraud Analytics and Behavior-based Customer Insight operate, respectively, in terms of mitigating money laundering risks, prevention of financial fraud and customization customer experience.

The Asset Analytics for Rotational Equipment is designed by IBM solutions for the chemical and oil industry and uses the predictive analysis to anticipate operational breaks and enhance the reliability and availability of critical equipment.

In the financial segment, Regulatory Compliance and Control and Trade Compliance Analytics enable better risk management and regulatory compliance and comprehensive view of the market, using analytical capacity.

In the area of consumer products, the technology company has created a solution that you want to study the customers’ consumption behavior and their reactions to certain marketing strategies. The Social Merchandising allows enhancing the operational efficiency of companies that wish to reach a particular group of consumers.

In the sphere of insurance, the IBM Analytics Solution Insurance gives a greater customer experience and reduce the dropout rate, the Producer Life Cycle and Credential Management help insurers automate processes, and the Property & Casualty Claims Fraud enables a more efficient identification and needs of fraud incidents.

For the media and entertainment area players, IBM developed the Behavior-based Audience Insight to a better understanding of their audiences and more efficiently create advertising and marketing campaigns and new content.

In April, following in the footsteps of its closest competitor Microsoft, Amazon announced the Amazon Machine Learning, a fully managed cloud service designed to draw useful information from mountains of data that it is sometimes difficult to exploit, for reasons of complexity, time or energy.


CloudTimes

Salesforce Expands Data Analytics to Next Generation Business Apps

Wave Sales Overview1 225x300 Salesforce Expands Data Analytics to Next Generation Business AppsIn many popular consumer applications a user can take immediate action if he has obtained important information from large amounts of data. For business applications, it appears that, directly taking action in response to a data analysis not so easy. This often occurs because the analysis may be not coming from relevant data sources or because it directly not linked to the tasks. The result is sluggish business decisions at the expense of the operating results.

Salesforce.com has set the goal of providing businesses with a more user-friendly analysis tools for the reason mentioned above. Last week, the leader of the CRM service provider has unveiled a series of apps tailored to specific activities or roles. Among them is the introduction of Sales Wave Analytics, a tool for business, which will be the first to be delivered.

Earlier this year, Salesforce.com had already made a series of updates for its mobile platform Wave Analytics Cloud, and last month the company had added a new tool focused on big data. This time, the latest round of Wave Analytics Apps applications is intended to extend the cloud analytics capabilities by providing the prepackaged templates that can meet specific needs according to use, with the ability to provide a meaning data appropriate to the context.

The applications instantly integrate CRM data in appropriate role models to accelerate deployment. They will also highlight the historical trends and making full year comparative from any terminal. Because Wave Analytics Apps applications are built natively on Salesforce1 platform, predefined data flows will not only postpone automatically, but also to update all parameters associated with these changes in Salesforce.

Sales Analytics Wave is the first app in the series delivered by the firm. It will allow business to benefit from new forecasting management tools, sales pipeline, performance and more. Preconfigured templates included in the application will allow users to explore all Salesforce sales data. It will cover sales pipeline management and forecasting so that they can give access to quarterly results and will allow to follow team performance.

The top management of the business operations may, for example, use this tool to have a real-time analysis of sales pipeline and cross this information with the sales performance of products directly from the mobile phone to determine if these forecasts should be revised or not.

The Sales Wave Historical Analysis function allows sales managers themselves to create the database in no time from any device with an analysis of historical data. As a result they no longer have to wait for the results of business analysts.

The Wave platform is vertically integrated with Salesforce’s cloud analysis platform. In addition, the data does not need to be sorted for analysis, because the Wave platform includes a schema-free architecture. This allows all employees to intuitively explore full datasets and display the results in dashboards and graphs.

The tool will be available on iOS for iPhone, iPad and even Apple Watch. Additional languages ​​and other compatible devices will be added to the list later.


CloudTimes

CoolaData offers behavorial analytics as a cloud service

Want to harness the power of business intelligence but don’t have a six-figure budget to build a data warehouse? Why not try a cloud service instead?

Israel-based CoolaData is promising to ease the headaches, and start-up costs, of running a data warehouse with a cloud-based analysis service, one based on components of the Google Cloud Platform.

The service is aimed chiefly at mid-sized organizations, ones too small to have a dedicated team of data scientists and administrators to run data warehouses in-house, but with needs too large to make good use of the free and budget tiers of generic cloud based data analysis providers, said CoolaData’s CEO Tomer Ben Moshe.

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Computerworld Cloud Computing