The current healthcare industry must deal with extended life expectations, exponentially rising costs, and overworked staff. Furthermore, investment cycles for new, improved medical equipment are lengthy
Source: Microsoft Enterprise
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Searching recently for evidence of artificial intelligence taking over our jobs, lives, and everything else, Tom Davenport came up empty. "Nary a robot overlord to be found," he declared at the 14th MIT Sloan CIO Symposium.
Source: Forbes11223
This is the story of how GE has accomplished this digital transformation by leveraging AI and machine learning fueled by the power of Big Data.
Source: forbes11853
Artificial intelligence (AI) has become a hot topic in the area of life sciences lately. With a growing number of groundbreaking AI use cases in other hi-tech industries -- ranging from self-driving cars to speech and image recognition tools to personal assistants (you know Siri, don't you?) -- players in the biopharmaceutical industry are looking toward AI to speed up drug discovery, cut R&D costs, decrease failure rates in drug trials and eventually create better medicines.
Source: Forbes9075
The AI and advanced analytics conversation has risen all the way to C-suite. The time has come to act. Jump on the AI train soon or you will be left behind.
Source: Information Week19920
Artificial Intelligence (AI) is seen as a differentiating technology for banking while blockchain does not feature on the list for the banking and investment services CIOs as they go digital, a Gartner survey said on Monday.
Source: Firstpost10224
The number of institutions that see AI as important to their strategies is higher than other countries - but number of real case studies is still small.
Source: ZD Net14673
New study from Deloitte shows that early adopters of cognitive technologies are positive about their current and future role.
Source: ZD Net15606
A new report from Deloitte says the tipping point for the technology has arrived.
Source: ZDnet12741
As many as 70 out of 100 BSE-listed companies using MS Cloud, says Maheswari
Source: The Hindu11310
Under siege by robots and hampered by outdated skills in an environment of drastic change, India's tech workers and tech giants are increasingly leaning on online education outfits for a much-needed reboot.
Source: Zdnet11874
Thousands of jobs for professionals, managers, executives and technicians (PMET) are being created in the professional services sector, in new roles such as cybersecurity consultants, data engineers and legal tech experts.
Source: channelnewsasia24654
Technologies like machine learning and artificial intelligence are already impacting many industries. Here are five jobs that will get the biggest productivity boost.
Source: ZDnet13617
Despite lacking experience and skills, many respondents to a recent Tech Pro Research survey said they'd find a way to pull off the implementation in-house.
Source: Zdnet25020
The recent revolution in digital technology has touched every sphere of lives, and education sector has not been spared. Unlike any other sector, the link between digital technology and education is unique and complimentary.
Source: Financial Express8916
Digital transformation is generating a myriad of changes in multiple industries around the world because of these advances the companies were implementing the technologies.
Source: HOB13212
Microsoft is betting big on artificial intelligence (AI) and plans to make it "available to all" to improve lives and transform organizations.
Source: Google News9792
All have probably heard the buzz, the age of Artificial Intelligence has arrived. Technology in today's world is increasing at the fastest pace and with the penetration in the digital transformation we are connected to Artificial Intelligence and one of the very big brand also influenced with the advancement of technology hence, BMW's Artificial Intelligence Motorbike comes into the picture and also comes with a 'Digital Companion'.
Source: HOB10209
Digital transformation is generating a myriad of changes in multiple industries around the world because of these advances the companies were implementing the technologies. One of the greatest risks of this new era is the technological lag that threatens business competitiveness. Main trends for organizations in the IT field so they can keep and increase their competitiveness.
Source: HOB13308
'India is clearly on the digital transformation fast track,' says Anant Maheshwari, president, Microsoft India
Source: HOB19566
In 2018, data and data analytics can't be ignored. Data Analytics is quite big buzz these days. Analytics is the combination of analysis and logics and it is the collection, measurement, analysis, visualization and interpretation of digital data illuminating user behaviour on websites, mobile sites and mobile applications. Following are the six ingredients of a successful digital analytics transformation.
Source: HOB9027
Blockchain has made a huge interruption over the past few years. It is considered as the most innovative technology since the birth of the internet. People assured the concept of blockchain to bitcoin only however, it is much extra than that.
Source: HOB8319
Staying ahead in the promptly evolving Artificial Intelligence race needs enterprise leaders to make fast, informed decisions about where and how to leverage AI in their business. Artificial intelligence (AI) is a part of computer science that highlights the formation of intelligent machines that work and reacts like humans.
Source: HOB8259
Data scientists are richly paid but poorly understood-recipe for churn.
Source: HOB11610
Businesses across all the sectors are leveraging digital transformation efforts. To keep pace with modern business, companies must continually position themselves in the best possible way to embrace new growth and adapt quickly to evolving market pressures.
Source: HOB10668
The technologies that includes Artificial Intelligence (AI), includes natural language processing-driven bots, machine Learning and deep learning along with robotics process automation (RPA). All these technologies are changing the ways in which business is done across all the industries. Thus, AI is impacting the entire industries whether it is retail, insurance, legal, travel, hospitality, financial services and transportation and many more. These technologies are revolutionizing and re-inventing all the industries and they are also speeding up and reshaping existing business processes.
Source: HOB25518
Machine Learning has become increasingly important today because of the digital transformation of companies leading to the production of massive data of different forms and types, at an ever increasing rate. Due to the advancements in computing technologies and exposure to huge amounts of data, the applicability of machine learning is dramatically increasing.
Source: HOB11511
Web scraping is also known as web harvesting or data extraction. It is used for extracting data from the website. Web scraping a web page included fetching and extracting. Fetching is something what we are downloading. So we can say that web crawling is a most important component of web scraping, to fetch pages for later processing. Once fetched, then the extraction takes place. It is also used for contact scrapping, and as a component of applications used for web indexing, web mining, and data mining.
Source: HOB16428
Business intelligence comprises the strategies and technologies used by enterprises for the data analysis of business information. And it provides historical, current and predictive views of business operations.
Source: HOB8295
Robot Process Automation market is rapidly growing. Four million robots by 2021 doing office and administrative sales related tasks. Companies using Robotics process automation technology to automate their task without human intervention not only achieve higher efficiencies but also gain huge profits margins. By automating the task and relieving the humans so they can do other important cognitive task.
Source: HOB13740
Big data and its implications are impacting every business from one-person companies to Fortune 500 enterprises. As data collection, analytics and the interpretation of that data become more readily accessible, they will have an impact on every business in several important ways, regardless of what field you operate in or the size of your business.
Source: HOB5985
Big data and its implications are impacting every business from one-person companies to Fortune 500 enterprises. As data collection, analytics and the interpretation of that data become more readily accessible, they will have an impact on every business in several important ways, regardless of what field you operate in or the size of your business.
Source: HOB5334
Blockchain as a buzzword has been already picking up the speed in digital transformation. JD.com China's largest retailer recently announced it is launching a new blockchain technology platform for use by enterprise customers to build, host and use their own blockchain applications. Blockchain has the potential to change the way we interact with each other and with centralized third parties forever, simply because we do not need them with this system.
Source: HOB14562
Artificial Intelligence is a quite buzzword and gain maximum popularity and also transforming industries one after other, like from the Apple's intelligent assistant Siri to self-driving cars from Tesla to Google AI that can learn video games in a very short period.
Source: HOB9969
Data Science, Machine Learning, Artificial Intelligence and data analytics are quite buzzword. No doubt these technologies will transform all the industries but most likely the technology that will change our profession in the short run will be Robotic Process Automation (RPA).
Source: HOB7128
Data Scientist is the very demanding role in every big organisation and they have power to unlock the hidden values in the data's. They are very good at data handling and manages data at a very huge scale.
Source: HOB15750
Today every person is talking about the new business ideas and wants to start thier own dream company. But in Data Science this is little bit different and the success in this filed is mainly driven by knowledge on the particular subject. So for this practice every data scientists should read books and gain the insights.
Source: HOB20154
Around Data Science Platforms all of its functionalities like data exploration and integration from several sources, coding, model building are executed. Data science platforms are programmed to train and test models and deploy the results to solve real-life business challenges.
Source: HOB13515
Now a day's most of the organizations are using Data Science capabilities to shape the next set of products which will be more personalized and dynamic. Businesses across verticals have been sitting on huge quantities of data over the years, in various forms like customer, partner, and internal data.
Source: HOB10839
There are numerous of Big Data tools for data analysis today. Data analysis is the process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision making.
Source: HOB16116
In Part-2 we have covered 10 Big Data Analysis Tools as Data Visualization and Sentiment Analysis Tools. There are numerous of Big Data tools for data analysis today but here we cover big data analysis tools as data extraction and databases tools.
Source: HOB27744
Technology Business Research (TBR) recently come out with a report and its headline is, "Winning The Business Of Digital Transformation Services Requires A Process-Led Approach" authored by Sebastian Lagana and Jennifer Hamel. The report is full of good nuggets, but what all professionals especially liked the way that they categorized the 3 phases of Digital Transformation in his report:
Source: HOB11406
Data science is a powerful tool and has the ability to transform the world. We are already seeing massive changes to the way industries work in the Western world and data science is powering that change. Data Scientists want is like any other employees: they want a good salary.
Source: HOB6420
Data science is a powerful tool and has the ability to transform the world. We are already seeing massive changes to the way industries work in the Western world and data science is powering that change. Data Scientists want is like any other employees: they want a good salary.
Source: HOB8361
A collection of useful mobile applications that will help enhance your vital data science and analytic skills. These free apps can improve your listening abilities, logical skills, basic leadership qualities and more. Data science and machine learning are evolving with their abilities to transform the world around you.
Source: HOB62946
Fourth Industrial Revolution technologies such as artificial intelligence, autonomous vehicles and drones, the internet of things, advanced materials, 3D printing and biotechnology are particularly relevant.
Source: HOB8874
Artificial Intelligence remains a much misunderstood technology, and many business leaders are either wary of it, or simply don't yet see how it applies to their business. Artificial Intelligence isn't all about robots and driver-less vehicles. Its potential for business transformation is huge, and to keep ahead of the competition you need to be thinking now about how your digital transformation strategy incorporates AI for future growth.
Source: HOB11907
As per Forrester Research, the worldwide cloud market will cross the $178 billion mark in 2018, a considerable increase from last year's $146 billion. What's more, it'll be the first time that public cloud adoption exceeds 50 percent.
Source: HOB8181
The digital transformation is all about technology, right? While in essence the answer is yes, it's not the only focus. In fact, I would argue that in order for the digital transformation to be successful, companies need to focus on six pillars beyond technology; perhaps thinking of digital transformation as "Tech-enabled change."
Source: HOB7311
Even if you don't have access to one of the new breed of self-service BI tools that have fairly advanced data visualization baked in, you can still experiment with the concept because there are a host of third-party visualization tools available to anyone with a web browser. I've listed 10 of them below.
Source: HOB10416
The idea of transforming digitally is quite divergent and it has progressed and enlarged up from few years. Earlier, the development is technology was not too much the recent years it has evolved and entered the business lexicon. We use to apply advanced technologies to the process which already existed just to increase the efficiency which is like new tools are used to do the same things. Digital industry has evolved and expanded the IT industry as well. To achieve a competitive edge new tools are used to perform the task differently. New technologies are implemented which helps in the procedure more effectively in the marketplace.
Source: HOB10458
Data will continue to drive business transformations in 2019. Here are three trends that could change the business landscape over the coming year and tips to help you prepare for them. As we prepare for 2019, it's a good time to look back and reflect on the effect that data has had on global business during this past year and what might be in store in the year ahead.
Source: HOB13629
Today, tech innovations arrive faster than most of the enterprises can cope up with. All too often, before one innovation is embraced and implemented, other two appear on the horizon. To cope with these endless innovations, CIO's of the enterprises must pursue and excel the role of a business strategist first and secondly as a technologist, thereby developing an appropriate pace for the digital transformation.
Source: HOB13494
New digital technologies could bring over $150 billion (Rs10.7 lakh crore) to India's GDP by 2021. So, many Indian professionals are choosing to learn new skills in order to cash in on this economic transformation.
Source: HOB7992
For helping you with getting a better understanding of the technology, a new report is published by TIBCO which shows the data visualization benefits. However, data visualization is crucial to comprehend and obtaining intuitions from the data of large volumes. There are multiple enterprises which really don't know from where to start this technology.
Source: HOB9627
Due to the digital transformation, there are many IT jobs what will be more in demand and will be oriented towards high technology like AR, IoT, and artificial intelligence. For all these positions the demand for the workers who are qualified has increased which also includes the front-end developer and back-end developer, and many more positions which are not known. Here are some of the jobs which will be more in demand in the year 2109-2020.
Source: HOB11226
The large heap of data generated every day is giving rise to the massive information and correct analysis of this data is obtaining the need for each organization. Hadoop is a savior for large Data Analytics and assists the organizations to manage the data effectively.
Source: HOB22347
When you are building with the models of machine learning, you follow some best practices which are time-consuming but the important process. There are so many things for doing ranging from: data is being prepared, algorithms are selected and trained, preparing algorithms, understanding how decisions are being made, all the way down to deploying models to production.
Source: HOB6732
Developers are the main tech professionals in the organization with increased demand and talent shortages leading to large salaries for many of those in the field. Software development is a dynamic field, in which new programming languages, frameworks, and technologies are included and this job needs constantly change.
Source: HOB10851
IT architectures have evolved to support the way from the mainframe, to client-server, to the web, to cloud the way people demand to work. Every old thing becomes new again: Modern cloud-computing technology shares user commonalities specifically; the ability to connect remotely with mainframe architecture, except the cloud, is considerably more highly distributed and scalable.
Source: HOB6537
For every business, data science is the foundation of enabling a successful transformation into an AI-powered enterprise.
Source: HOB8877
The spending on the technology of smart cities will be about 80 billion dollars and expected to be increased by 135 billion dollars by 2021. And these investments will spread the opportunities through which cities will be become more convenient and will be easy to sustain.
Source: HOB6495
Natural language processing is an interdisciplinary field that includes both computer science and linguistics. As humans, we have an innate ability to understand other people who speak the same language.
Source: HOB10443
The US-headquartered robotic process automation (RPA) company UiPath bets big on digital transformation and faster adoption of automation in Indian tech companies for its growth.
Source: HOB6975
Artificial intelligence, or AI as it's called, has been a buzzword for nearly a decade already, yet sometimes it still feels as though we're just in the early stages of discovering what predictive analytics and machine learning can do for enterprises.
Source: HOB8388
Here in this article you will find put some technological standards that will end up revolutionizing every industry, in an age when digital transformation plays a major role.
Source: HOB6369
The data transformation is indeed a mathematical concept, and with the help of reading and writing, we make mathematics (the transform part) useful to the real world.
Source: HOB4101
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