Use this guide to master the XML metalanguage and JSON data format along with significant Java APIs for parsing and creating XML and JSON documents from the Java language. New in this edition is coverage of Jackson (a JSON processor for Java) and Oracle's own Java API for JSON Processing (JSON-P), which is a JSON processing API for Java EE that also can be used with Java SE. This new edition of Java XML and JSON also expands coverage of DOM and XSLT to include additional API content and useful examples. All examples in this book have been tested under Java 11. In some cases, the source code has been simplified to use Java 11's var language feature.
Be sure to share on LinkedIn. As organizations get better at managing and using a wider variety of data, the more they will adopt and make use of AI. IBM General Manager for Data and AI Rob Thomas has said organizations can't have effective AI without sound IA (Information Architecture). And one of the pillars of any IA is data management. In this new era of data, databases are no longer considered the traditional system of record or datastore.
Seeking Data Analyst Allied 100, LLC, a fast-growing nationwide distributor of emergency medical equipment located in Woodruff, Wisconsin, is accepting resumes for a full-time year-round Data Analyst. Responsibilities include gathering data and raw information from a cross-section of focus areas and work closely with senior managers and executives to help focus our sales, marketing, and operational activities around data-backed decisions. You'll help department heads interpret the information and offer feedback on new tests and opportunities to improve our results over time, generate routine queries to help spot business trends, occasionally help compile reports and offer help to others in the organization, and see the impact of your advice immediately! Required experience includes two or more years of analyzing raw data to generate summary reports and recommendations, expert-level understanding of Excel, Access, PowerPoint, and SQL, and the ability to work well on teams and in groups. Ideal candidates will have a BA/BS or advanced degree and experience with marketing analytics programs (including Google Analytics, Google Adwords, email delivery software, and search engine optimization tools), and experience and understanding of financial statements and financial modeling.
When building a new website, retaining and improving your SEO and organic traffic should be a key design goal. This requires a clear understanding of how SEO and website design work together and careful planning for the site migration. If everything is done correctly, you should retain (and improve) rankings and traffic. Unfortunately, in the real world, this is often not what happens. And then panic sets in.
Like other top IT vendors, IBM has made AI and advanced analytics a cornerstone of its technology strategy, along with the data management systems that drive analytics applications. Data and AI analytics will also be at the heart of the IBM Think 2019 conference in San Francisco. AI tools in particular are getting a big push from IBM and rivals. Whether the hype matches current enterprise IT reality remains to be seen. In a recent Q&A, Babson College IT professor Tom Davenport said he thinks AI "will be revolutionary in the long run, but it's pretty evolutionary in the short run."
There is no denying that everyone who spends time shopping online has seen both search engines and recommender systems several numbers of times and the differences between both the engines seem fairly obvious. A search engine can be spotted easily -- it is a query box where you type in what you're looking for and the system shows a list of results. On the other hand, you also see some products has just appeared on your screen that is relevant to you, but you haven't requested for it; that's is the magic of a recommendation engine. But what makes a product search engine different from a recommendation engine? And where exactly deep learning, machine learning, and artificial intelligence come into the picture?
Ecosia, a German startup with an internet search engine, today, has brought in enough revenues to enable it to plant 50 million trees. This equates to the removal of 2.5 million tonnes of Co2 from the atmosphere, according to the company. Ecosia has used the profits from advertisements on its search engine to plant trees in Kenya, Brazil, Indonesia, Spain, Tanzania, Madagascar, Colombia, Peru, Senegal, Burkina Faso, Haiti, Morocco, Ethiopia, Uganda, Ghana and Nicaragua. Ecosia has partnered with Bing, Microsoft's search engine, to get results for users, but receives a majority portion of any revenues. After covering its internal costs, everything left goes towards planting trees; Ecosia is a non-profit organization.
Joining the likes of agile and innovative, the term data-centric has become part of the modern business lexicon. Whilst the most cynical might consider data-centricity merely a buzz term, the facts are undeniable: businesses of all sizes are sitting on swelling data stores, with valuable business insights hidden within. More data doesn't necessarily mean better data, and teasing out the genuine value can be a problem. As well as the volume of data, variety is also important and includes customer, financial, machine, social, structured and unstructured forms. The types and categories of data that are generated, in ever increasing quantity, can be overwhelming, and determining what data is most useful for any aspect of business decision-making can be confusing.
Corporations, law firms, and others will advance information governance, regulatory and privacy compliance including GDPR and HIPAA and electronic discovery with Infinnium solutions. Infinnium LLC, a software company that develops solutions to improve information management and business decision-making through effective use of the latest artificial intelligence technology, announces [February 11, 2019] its official launch today. Infinnium aims to redefine the way organizations interact with data to generate actionable intelligence, improving information management, information governance and regulatory and privacy compliance. Infinnium brings together a team of experienced business professionals, data scientists and technologists with a passion for problem-solving and developing intelligent, yet simplified solutions using deep learning and AI to improve decision-making and information management. The team collectively possesses more than 100 years of experience in legal technology and developing sophisticated information management, data mining and machine learning software solutions for users globally.