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      "body": "It can be stressful when you have to make important decisions regarding your business. We all want to make the right decisions and this can create a lot of anxiety. But to get ahead of the game, it is a necessity.\n\nHere are six suggestions on how to make the right business decisions.\n\n1. KNOW ALL THE FACTS REGARDING YOUR COMPANY.  Gather all of the facts and necessary information that impacts your business. This is important, because you do not want to miss critical information that could make a difference in how you run your business. Also, by being part of the information-gathering process, you can eliminate biases or opinions others may have.\n\n2. FOCUS ON THE RESULTS. Think about what you want and consider the possible outcomes of your decision. A person needs to focus on the short-term and long-terms goals regarding every aspect of their company. For example, keeping up to date on the company’s financial statements is very important. Keeping abreast on your employees’ morale is another example on determining the direction of your company. Looking for ways on improving how your company does business will go a long way in accomplishing your business goals and mission statements.\n\n3. ASK AROUND. It is important to consider other viewpoints other than your own, so get advice from your friends and business peers.For example, a good technique is to talk to your important business colleagues and managers to get their opinion on how to manage your business. For instance, you have to make a decision on which client should manage your marketing campaign. Ask your business advisors and other managers on what they think who would be the best fit in managing your campaign.\n\nIn addition, a business person can join a local business support group to network with other professionals in the field. This is a great way to get valuable information regarding your industry.\n\n4. RELAX.  Do not try to do everything all at once and when things get hectic stop what you're doing and take a 10 minute break. Take a few deep breaths and try to do something that will make you feel more relaxed such as taking a 10-minute walk, listening to the radio or doing some stretching exercises to help de-stress.  You will feel better and gain a fresh perspective on your current situation, whether it is dealing with your employees, giving a presentation or improving your company’s marketing plan.\n\n5. STAY THE COURSE. Managing your own business involves a series of ongoing business decisions. Don’t put off important decisions, and don’t worry about your past mistakes -- just keep focusing on what is best for your company. To determine the best outcome for your business, always listen to your customer needs and have your finances and expenses organized. Customer satisfaction and making sure your company doesn’t run out of money are some of the important priorities of any business. If your business is going in the wrong direction then you need to re-evaluate how you run your business.\n\n6. LEARN FROM YOUR MISTAKES AND RE-EVALUATE. If you make an incorrect business then the next step is to learn from your mistakes and go from there. Learn what you did right and learn what you did wrong. \n\nFor example, your company decides on a marketing plan for a certain product, however you don’t get the expected results in terms of sales and customer satisfaction.  When this happens, learn what went wrong and use this knowledge the next time you market your other products. \n\nI hoped it helped very much.\nHard work leads to success",
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      "body": "![newsletter-image1422.a28f5d3499244d57e2108aea232dcdfa.jpg](https://cdn.steemitimages.com/DQmcT7EbneWy42A2n1SGWrFpQfrFoudh1b1gmDwqYArSiho/newsletter-image1422.a28f5d3499244d57e2108aea232dcdfa.jpg)\n2017 became the Year of Intelligence: the advance of technological achievements has triggered exciting and unexpected trends with wider impact horizons and very promising business prospects. This year we expect drastic exponential changes in every technological direction. Machine learning and artificial intelligence will transform the entire industries, making way for virtual helpers and a myriad of cases for automatization. The Internet of Things (IoT) will become more intelligent, uncovering a huge potential for smart homes and smart cities. A more efficient human-machine interaction will become established with the natural language replacing specific commands.\n\nIn this article, we will focus on the modern trends that took off well on the market by the end of 2017 and discuss the major breakthroughs expected in 2018.\n\n1. Artificial intelligence will reshape the business strategies\n\nAI brings enormous changes to business operations, reshaping entire industries with the power of advanced technologies and software. Some companies now acknowledge the value of implementing the AI strategies for their business, and a major leap towards AI is on the way. Large companies with over 100,000 employees are more likely to implement the AI strategies, but for them, this process can be especially challenging. 2018 will be the year when the leading firms will incorporate AI applications into their strategic and organizational development. Additionally, there is a potential for algorithms marketplaces, where the best solutions created by engineers or companies can be shared, bought, and deployed for organizations’ individual use.\n\nBrave ideas that used to be hard to believe, are becoming real. The constant development of machine learning and AI technologies will make every business become data-driven, and every industry smarter. After years of background work on prototypes and ideas, the new solutions will be breathtaking. Virtual assistance for patients, computational drug discovery, and genetics research give a glimpse of the amazing use cases in medicine. Many more applications for automation, robotization, and data management in different industries will bring significant changes. Healthcare, construction, banking, finance, manufacturing — every existing industry will be reshaped.\n\nArtificial intelligence\n\n2. Blockchain will reveal new opportunities in different industries\n\nEveryone is now talking about blockchain, a revolutionary decentralized technology that stores and exchanges data for cryptocurrencies. It forms a distributed database with a digital register of the transactions and contracts. Blockchain stores an ever-growing list of ordered records called blocks, each containing a timestamp and a link to the previous block. Blockchain has impressive prospects in the field of digital transactions which will open new business opportunities in 2018.\n\nThis technology also uncovers many new possibilities with various applications in various other fields. Due to the growing role of social responsibility and security on the internet, the blockchain technologies are becoming increasingly relevant. In a system using blockchain, it is nearly impossible to forge any digital transactions, so the credibility of such systems will surely strengthen. This approach can become fundamental for disruptive digital business in enterprises and startups. Companies, previously operating offline, will be able to translate the processes into the digital environment completely.\n\nBusiness needs to account for the blockchain risks and opportunities and analyze how this technology can influence the customer behavior. As the initial hype around blockchain in the financial services' industry will slow down, we will see many more potential use cases for the government, healthcare, manufacturing, and other industries. For example, blockchain strongly influences the intellectual property management and opens new insights in protection from copyright infringement. Some websites like Blockai, Pixsy, Mediachain, and Proof of Existence intend to apply the blockchain technology for this purpose.\n\n3. New approaches to privacy and security are coming\n\nThe technological development boosts the importance of data, so hacking techniques become ever more progressive. The increase in numbers of devices connected to the internet creates more data but also makes it more vulnerable and less protected. IoT gadgets are getting more popular and widely used, yet they remain extremely insecure in terms of the data privacy. Any large enterprises are constantly under threat of hack attacks, as it happened with Uber and Verizon in 2017.\n\nLuckily, the solutions are achievable, and this year we will see great improvements in the data protection services. Machine learning will be the most significant security trend establishing a probabilistic, predictive approach to ensuring data security. Implementing techniques like behavioral analysis enables detecting and stopping an attack capable of bypassing the static protective systems. Blockchain brought our attention to a new technology called Zero Knowledge Proof which will further develop in 2018 enabling transactions that secure users’ privacy using mathematics. Another new approach to safety is known as CARTA (Continuous adaptive risk and trust assessment). It is based on a continuous evaluation of the potential risks and the degree of trust, adapting to every situation. This applies to all business participants: from the company's developers to partners. Although our security is still vulnerable, there are promising solutions that can bring better privacy into our lives.\n\n\nVirtual Machines for data science\n4. The Internet of Things will become intelligent\n\nThe intelligent things are everyday devices capable of smarter interactions with people and the environment. These things operate either semi-autonomously or autonomously in uncontrolled real-world conditions without the need for human intervention.\n\nIntelligent things have been in a spotlight for several years, and with a continuous expansion and enhancement in 2018 they will influence another global trend — the Internet of Things.\n\nA network of collaborative intelligent things will be created where multiple devices will work together developing IoT to its full potential. Connected to the global web and combined via wired and wireless communication channels, things will turn into a one big integrated system driving a major shift in the human-machine interaction. The fusion of artificial intelligence with the Internet of things brings about new amazing technologies to create smart homes and cities.\n\n5. Deep learning will be faster and data collection better\nNowadays, deep learning faces certain challenges associated with the data collection and the complexity of the computations. Innovations in hardware are now being developed to speed up the deep learning experiments, e.g. the new GPUs with a greater number of cores and a different form of architecture. According to Marc Edgar, a Senior Information Scientist at the GE Research, deep training will shorten the development time of software solutions from several months to several days within the next 3-5 years. This will improve the functional characteristics, increase productivity, and reduce product costs.\n\nCurrently, most large firms realize the importance of data collection and its influence on the business effectiveness. In the coming year, companies will start using even more data, and the success will depend on the ability to combine the disparate data. In 2018, companies will collect customer data via CRM, ticket systems, BMP and DMP, as well as the omnichannel platforms. The popularity of collecting data on specialized sensors like LIDAR is also on the rise. Integrating the existing systems with all types of client data into a single information pool will definitely be on trend. Startups will continue to create new methods for gathering and using data, further reducing the costs.\n\n6. AI will refine auto constructing and tuning of models\nauto constructing and tuning of models\n\nSince Google’s launch of AutoML last year, use of the AI tools to accelerate the process of constructing and tuning models is rapidly gaining popularity. This new approach to AI development allows automating the design of machine learning models and enables the construction of models without human input with one AI becoming the architect of another.\n\nThis year, experts expect growth in popularity of the commercial AutoML packages and integration of AutoML into large machine learning platforms.\n\nAfter AutoML, a computer vision algorithm called NASNet was built to recognize objects in video streams in real time. The “reinforcement learning” on NASNet implemented with AutoML can train the model without humans showing better results when compared to the algorithms that require human input.\n\nThese developments significantly broaden the horizons for machine learning and will completely reshape the approach to model construction in the next years.\n\n7. The CDO role will grow extensively\nThe Chief Data Officers (CDOs) and other senior data professionals are getting more involved in the top management of large organizations changing their approach to data management. CDOs are the driving force behind the innovation and differentiation: they revolutionize the existing business models, improve the corporate communication with the target audience, and explore new opportunities to improve the business performance. Although this position is quite new, it is getting mainstream. According to Gartner, by 2019 CDO positions will be present in 90% of large organizations, but only half of them will actually succeed. Strong personal qualities, understanding of the responsibilities and potential obstacles are considered crucial to achieving success, yet there is another important step to unlock the full CDO’s potential. Firms should consider branching the IT department into the “I” and “T” separately, and CDOs should take the lead in the new group responsible for the information management.  \n\n8. The debates on ethics will flare up\nAs the AI industry makes significant progress in performing various tasks and actions in the everyday life, questions are raised regarding ethics, responsibilities, and human engagement. Who will be to blame if an artificial intelligence unit performs an illegal act? Do AI bots need any regulations? Will they be able to take over all the human jobs?\n\nThe first two questions assume that one day a bot will be legally recognized as a person and could take responsibility or be punished for their actions. Although this perspective is still years away, the debates around ethics are heating up already. Considering different possibilities, scientists are trying to find a compromise regarding the bots’ rights and responsibilities.\n\nHowever, the possibility that robots will take all the workplaces is actually close to zero. Of course, the AI industry is developing extremely fast, but it is still pretty much in its infancy. 2018 promises to take the hype around this question down. Once we dive deeper into this subject, understand how to interact with the AI, and get used to it, the myth about robots taking over will surely be dispelled.\n\n9. No more specific commands: growing of NLP\nUse of chatbots in customer service became one of the leading trends of the outgoing year. In 2018 applications will require the ability to recognize the little nuances of our speech. The users want to get a response from their software by asking questions and giving commands in their natural language without thinking about the “right” way to ask. The development of NLP and its integration into computer programs will be one of the most exciting challenges of the 2018 year. We have high expectations about this.\n\nWhat seems as a simple task for a human — to understand the tone of speech, the emotional coloring, and the double meaning — can be a difficult task for a computer accustomed to understanding the language of specific commands. These complex algorithms require many steps of predictions and computations, all occurring in the cloud within a split-second. With the help of NLP, people will be able to ask more questions, receive apposite answers and obtain better insights on their problems.\n\ngrowing of NLP\n\n10. Self-teaching AI will be more confident without the human data\nSince the invention of the first artificial intelligence, the future in this field approaches faster than we expect. Experts were predicting that the AI would beat humans in the Go game by 2027. But it happened 10 years earlier — in 2017. It took only 40 days for the algorithm AlphaGo Zero to become the best Go player in the history of mankind. It was teaching itself without the input of any human data and developed strategies impossible for human players.\n\nNext year the race for the creation of a developed, self-taught artificial intelligence will only continue. We look forward to the AI breakthrough in solving many human routines: decision-making, developing businesses and scientific models, recognition of objects, emotions, and speeches, and reinventing the customer experience. Also, we expect that AI will be able to cope with these tasks better, faster, and cheaper than people. 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      "body": "![lbj.jpg](https://cdn.steemitimages.com/DQmcRNhCwttDWJTVck1hJCEwivcPFyVJG85rirsDtrC54R5/lbj.jpg)\n\nLeBron James warned his young Los Angeles Lakers teammates that his patience was wearing thin after a third narrow loss less than two weeks into the new regular season.\n\n\"You probably don't want to be around when my patience runs out. I'm serious,\" James said after the Lakers lost 124-120 at Minnesota on Monday night, leaving them with five defeats from their opening seven games.\n\n\"We talk about patience but you can't have reoccurrences of the same thing. If you are doing the same things over and over and over and expecting the same result then that's insanity. \n\n\"So we have to get better. We can't keep having the same mistakes over and over.\"\n\nJames, a four-time NBA Most Valuable Player, has played in the past eight consecutive NBA Finals, winning titles with Miami Heat in 2012 and 2013 and Cleveland Cavaliers in 2016.\n\nBut he left the Cavaliers and on July 1 signed with the Lakers, who have lost all three of their games decided by four points or fewer this season.\n\nLakers coach Luke Walton was unhappy with 18 turnovers and what he saw as selfish offensive play.\n\n\"Some of it was just lazy passing,\" Walton said. \"We had a lot of opportunities to run early, and we didn't take advantage of it because we were just kind of flinging the ball around.\"\n\nJames produced 29 points, 10 rebounds, seven assists, two steals and two blocked shots.\n\n\"I'm still able to get rebounds, still defend,\" James said. \"I can still make an impact if I'm making shots or not. I'm not a one-dimensional player.\"\n\nJames has six double-doubles and a triple double in seven games with the Lakers and averages 27.6 points, 9.1 rebounds and 2.0 steals -- all team highs -- as well as 8.1 assists.",
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