Neural network algorithms are stochastic by design and the source of randomness can be fixed to make results reproducible. The random number generators can be seeded in NumPy and TensorFlow which would make most of the Keras code 100% reproducible. But, there are some cases of additional sources of randomness and we can use these ideas on how to seek them out and perhaps fix them too. Read more at: http://machinelearningmastery.com/reproducible-results-neural-networks-keras/
Google's Accelerated Mobile Pages (AMP) now represents 7% of traffic for top publishers in the US which would likely increase in the coming years, especially as smartphones have become the dominant way for consumers to interact with the world around them. Digital transformation is upending the media industry in so many ways, and brands will have to keep a close eye on developments like AMP to make sure the experiences they deliver are stellar. It will be interesting to watch AMP in the coming years as it is setting itself up to disrupt not only the mobile web for the media industry, but also the mobile web as a whole. Read more at: https://blogs.adobe.com/digitalmarketing/analytics/google-amp-one-year-later/
Though all forms of market intelligence are not helpful to track customer loyalty or his preferences, a centralized intelligence system can bring consumer behavior insights. Intelligence in a market or an army is comparable as in both the cases remote insights bring limited information whereas central intelligence provides a more vast and detailed picture. Having an updated CRM could help tailoring the messages sent to prospective customers and more personalization is possible. It would predict customers’ next move. Read more at : http://www.optimove.com/blog/centralized-intelligence-system-will-win-customer-loyalty-battle
According to authors , a recent global survey from the medical industry workforce, threw light on the following for a business to flourish:
1)80% of the workforce in the remote counterparts, pointed out that Management/Managers should stay in touch with them, via instant messaging apps and frequent conversations over phone.
2)56% of them, stressed on video calls once a week .
3) Mandatory face-to-face interaction, via attending monthly meetings with managers .
4) Utilizing IT system for both tracking and measuring productivity per worker.
5) Research and evaluation of tools and techniques on a regular basis to stay notified about the new techies .
6) Assuring full support and engagement of the employees in the remote areas.
Read more at https://www.processexcellencenetwork.com/pex-tools-technologies/articles/remote-control
According to authors, target marketing strategy is the key to success ,which propels new technology into action to communicate effectively and quickly with the customers. Understanding the intricacies of both changing technology and Artificial Intelligence, is crucial for achieving success, as much of this is happening through machine learning and taking advantage of robots and AI. It’s the responsibility of the Chief Marketing Officer(CMO) to transform and spot out the same, thereby, changing the company’s identity. This requires skilled manpower, who can understand and effectively combine human interaction with machine learning. According to stats, the top revenue generator in the upcoming years will be marketing. Therefore leveraging AI is crucial to amplify the potential gains. Read more at https://www.forbes.com/forbes/welcome/?toURL=https://www.forbes.com/sites/blakemorgan/2017/06/30/how-the-cmo-can-leverage-ai-internally-and-externally/&refURL=&referrer=#6974b0db367d
According to authors, digital disruption, is an unavoidable deluge of new digital tools that is implemented to refine the business process on the digital front. Categorising the vast arena of business, technology, industry and social changes and planning the technological stack to identify digital disruption over time, helps an organisation in escaping its adverse effects as well as flourish. Following measures will nullify its adverse impacts:1) Maintaining lean and agile technologies, thereby ensuring flexibility to adapt to the changing environment 2) Staying connected to market research, customers and business partners 3) Implementing formal innovation management programs must be prioritised 4) Regular brainstorming sessions across different departments and teams to strengthen cooperation 5)Provisioning the requisite internal resources to ensure compatibility between existing and upcoming systems. Read more at https://www.qmarkets.net/digital-disruption-businesses-can-best-leverage/
According to authors, MLBox is a powerful Automated Machine Learning Python library ,but, weighing the following pros and the cons is crucial before using it.Pros:1)Automatic identification and classification of task 2) Pre-processing of data while reading and removing the drift variables, thereby cleaning files 3) Fast and accurate hyperparameter optimization and aims at low validation score 4)Constructing a Machine Learning Regressor for forecasting using minimum lines of code 5)Uses Entity Embedding for encoding categorical variables for creating new informative traits. Cons: 1)Things may collapse suddenly since it’s under active development 2) Unobserved Learning enjoys no support 3)Basic Feature Engineering ,requires creating own features 3)Selection method being purely mathematical drops out variables significant on the business front 5) Not truly an Automated Machine Learning Library.Read more at https://www.analyticsvidhya.com/blog/2017/07/mlbox-library-automated-machine-learning/
Automatic Call/Contact Distribution (ACD) is a software that enables contact centers to route customer inquiries to the customer support representative who has the skills to best handle their specific needs. Apart from the ability to route customers to the appropriate agent, ACDs have a variety of additional features that help in keeping efficiency high and costs down. Inbound/outbound call blending is another popular offering within an ACD. A quality ACD system imports customer data from company CRMs and passes it along to the agents so they can handle requests with all available information. An automatic call distributor takes a lot of the heavy lifting out of the routing process for contact centers, creating a more enjoyable experience for both customers and agents. Read more at: http://www.incontact.com/blog/what-is-automatic-call-distribution-acd/
A periodic table has been constructed to highlight 131 privately held HR tech companies which were chosen based on CB Insights data on total funding, recency of funding, quality of investors and strength of Mosaic score. The HR tech category broadly includes software in workforce management, payroll, benefits administration, employee development, along with recruiting and staffing platforms and excludes staffing agencies, event and office space management software, and operations companies that provide office cleaning and management. The periodic table categories into- flexible hiring, candidate management, staffing/scheduling, tech hiring, job board/resources, HR automation, compensation/benefits, workplace culture, screening/vetting, career development and college/graduate hiring. Read more at: https://www.cbinsights.com/blog/hr-tech-startups-periodic-table/
MercadoLibre one of Latin America's biggest e-commerce sites, with 130 million registered users and an average of 4.6 purchases made every second of the day. It uses Google Analytics 360 to help the advertisers improving their programmatic direct campaigns. MercadoLibre started by creating audience segments for popular product lines and then made those Analytics 360 segments available to advertisers. Advertisers using DoubleClick Bid Manager could then negotiate the impression volumes they wanted at fixed CPMs for each of their priority segments. With the Programmatic Guaranteed deals, advertisers are guaranteed reach and precision, as their ads are targeted to well-defined audiences who are likely to buy their products. The results were pretty much satisfactory. Read more at: https://analytics.googleblog.com/2017/06/mercadolibre-uses-unique-audience-insights-from-analytics-360-cs.html
According to authors, the remarkable impact of Application Programming Interfaces(APIs), is in the analytics front. From accumulating data from new root to evaluation, it has radically changed the face of analytics and the core role of the citizen data scientists ,by gathering right and reliable datasets ,thereby simplifying advanced analytics and enabling them to devote more time behind identifying and interrogating new and valid questions about data. Developers can borrow functionality from other apps by allowing interaction between two pieces of codes , thereby bringing different bits of software together. Efficiency depends on use. Whether APIs will replace citizen data scientists or not, in future, is unpredictable, as, on one hand, business users will have easy access to analytics without their support and on the other hand, their role will also evolve. Read more at http://blogs.sas.com/content/hiddeninsights/2017/06/23/apis-data-scientists/
According to authors, AI and Machine Learning algorithms, introduces us to an era of intelligent conversational environments , by bringing about a paradigm shift in technologies and strategies ,thereby collaborating the rate of progress in business and process for automation, thus making an enterprise more smarter ,flexible and conversational. AI mainly focuses on making support systems more efficient across a multitude of applications, processes and business domains, bringing about intelligent collaboration capabilities to the emerging Conversational Workspace platforms, improving workflows, automating repetitive tasks and initiating automated interactions via voice assistance ,thereby, helping an organization to take better decisions and grow. Read more at https://aitrends.com/speech-recognition/idg-contributor-network-the-growing-impact-of-artificial-intelligence-on-workplace-collaboration/
According to authors, both Artificial Intelligence and Pattern-Recognition algorithms, which metamorphoses horses into zebras and winter scenes into summer, have revolutionised healthcare, where robot radiologists, can visually diagnose and examine X-rays ,stained breast cancer slides and medical signs involving correlations between normal and abnormal health patterns, in detail and with remarkable precision, thereby empowering the doctors to conduct a detailed research and to better patient’s welfare. The core activity of AI is to make the machines intelligent and using this intellect, an entity can function smoothly, efficiently and with perfect foresight in its environment, thus allowing an organisation to flourish and expand its operations. Read more at https://aitrends.com/healthcare/supercharge-healthcare-ai/
According to authors, Artificial Intelligence , can easily and effortlessly make a copy of audio and video content with an intent to deceive the viewers, in a world which believes in Seeing is Believing. Though analytics, big data, and machine learning have helped us in unfolding the truth, yet these technologies cannot be fully relied upon, as it lies, by forging audio and video content, leading us to a fake world. As far as the audio and the video forgery is as concerned, anyone can generate realistic-sounding speech with varied intonation, in the voices of famous personalities and realistic-looking videos by changing both the facial expressions and pitch contour, on You Tube Videos, by using AI-based software. Recently, Adobe is working on similar technology which aims at producing “Photoshop For Audio”. Read more at https://aitrends.com/opinion/ai-will-make-forging-anything-entirely-easy/
According to authors, AI is radically changing the face of banking. From daily customer dealings ,learning from them and interacting with them to becoming the face of their brand , AI/Robots simplifies complex tasks, by, informing customers about their account balances, prevailing interest rates on mortgages, securities, making transfers and payments based on voice recognition authentication, interacting in different languages thereby making transactions smooth and flexible and resolving customer grievances online. AI covers the following three techies : 1) Language processing, enabling communication between computers and humans, 2)Enables computers in locating similarities and comparing disparities between new and existing datasets , to sketch out patterns, via Machine Learning and 3)Advanced software system that provide personalized advice. Read more at https://aitrends.com/financial-services/how-artificial-intelligence-will-revolutionize-banking/
The culture of an organization has a significant impact on the overall success rate of change initiatives. Weak process culture implies lack of proper teamwork. The signs of a weak process culture includes no collaboration amongst different teams, morale is low, and process and change initiatives frequently seem to fail. One of its biggest cause is invisible leadership. Now, to turn around a weak process culture, the following steps maybe followed:
1. Demonstrate active leadership
2. Empower the real process owners
3. Sustain momentum – deploy into structured change
4. Provide process guidance
5. Sustain communication
With the building blocks for a strong improvement culture in place, teams will feel empowered to collaborate on improvement efforts. Engaged teams armed with the right attitude can take any tools and turn their efforts into real improvement for your customers and for your bottom line. Read more at https://www.processexcellencenetwork.com/organizational-change/articles/how-to-spot-and-fix-a-weak-process-culture
Flipkart is not the first of the many e-commerce players to start their operations online. All has not been well for this industry in the past, both for consumers and investors. This has happened for various reasons including the entry of diverse competition as well as government policies—particularly demonetization. Following a offline to online strategy is only because of declining growth in the e-commerce industry is an overstatement. The idea is to provide interior designing consultancy and offer a holistic experience to the consumers for better decision making. Another reason for an offline presence is offering a platform for increasing brand credibility and cement its online business. Read more at https://theindianeconomist.com/online-offline-e-commerce-industry-declining/
Customers who have made purchases with a business once, make up a significant chunk of customer database. The second purchase is a key milestone in the customer journey. Now, using data, certain areas should be focused on first time customers that can help to push these customers into their second purchase. They are:
• A varied basket – with items from multiple departments – doubles the chances that a customer will make a second purchase.
• By offering discounts.
• Returns predict a higher customer lifetime value.
Optimizing these above factors can attract many customers on a long term basis. Read more at http://www.optimove.com/blog/ecomm-using-data-push-customers-second-purchase
Artificial Intelligence is development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. Therefore, AI can process a lot more data than human brain can, and thus can do more work accurately in less time. Along with data analysis AI can perform much more complex tasks such s determining customer preferences for products based on previous buying habits and understanding unstructured data. AI is augmenting the capabilities of human by solving such complex challenges. The importance of artificial intelligence can also be seen in healthcare industry for suggesting appropriate treatments for patients, fraud detection, financial services and retail. AI can be incorporated in business by using machine, deep and memory based learning which is AI’s core. Read more at: http://www.datasciencecentral.com/profiles/blogs/artificial-or-augmented-intelligence-talks-with-intel-s-chief
Core Banking Solution (CBS) is networking of branches, which enables customers to operate their accounts, and avail banking services from any branch of the Bank on CBS network, regardless of where he maintains his account. By regional analysis, the market is segmented into North America, Europe, Asia-Pacific and Rest of the World, with North America generating the highest market share owing to higher technology implementation. Due to its capabilities to improve efficiency and better risk management, core banking solutions is growing rapidly. On the basis of solution segment, it offers better customer support service, provides single integrated platform to all the banking channels and lower operational cost, improves efficiency in streamlining process related to customer account management. Read more at: http://www.datasciencecentral.com/profiles/blogs/core-banking-solutions-market-analytical-insights-and-foresight