Friday, February 28, 2020
Business Intelligence and Analytics 53
1 What is Business Intelligence Developer: Role Description, Responsibilities, and Skills
https://www.altexsoft.com/blog/bi-developer-role-responsibilities-skills/
Everything concerning your business’s past and current status is recorded as bits of data. Marketing numbers, human resources, company budgeting, sales volumes — you name it. The number of business domains the data comes from can be large. But, as a business, you might be interested in extracting value from this information instead of just collecting it. Be thankful that there is software for everything.
2 How blockchain will dominate the digital advertising industry in 2020 Search Engine Watch
https://www.searchenginewatch.com/2020/02/26/how-blockchain-will-dominate-the-digital-advertising-industry-in-2020/
Blockchain is emerging into the technology market these days and transforming the way we have been doing the online transactions lately. This technology is not only limited to the finance market, but it is also impacting the advertising and marketing industry too.
3 How Machine Learning Is Changing the World
https://www.datasciencecentral.com/profiles/blogs/how-machine-learning-is-changing-the-world
Machine learning (ML) is an application of Artificial Intelligence (AI) that provides the system with the ability to automatically learn and improve from experience rather than explicit programming. This is possible because today a large amount of data is available which lets machines to be trained rather than programmed. It is considered a major technological revolution that can analyze a massive amount of data.
4 To Maximize Your DataOps Future, Take Advantage of These Four Trends
https://tdwi.org/articles/2020/02/28/adv-all-dataops-future-four-trends.aspx
It’s 2020 and the challenges associated with enterprise data continue to intensify along with enterprises’ demands for easily accessible, unified data. Now more than ever, organizations are looking for ways to spend less time unifying, prepping, and cleansing data and more time analyzing it and using the insights it provides to generate strategic advantage.
5 Intelligent Virtual Assistant — A Billion Dollar Industry
https://medium.com/@latest_trends/intelligent-virtual-assistant-a-billion-dollar-industry-2d35d6998ed5
The intelligent virtual assistant industry is expected to grow aggressively on account of rising adoption of the technology across several applications including BFSI, healthcare, and automotive, among others. The intelligent virtual assistant (IVAs) provides critical automation assistance to various business, organizations, and individuals.
6 Lead Generation Strategies for AI Technology Companies
https://www.business2community.com/strategy/lead-generation-strategies-for-ai-technology-companies-02287950
However, if you are an AI Technology company, the success of lead generation services depends on the accuracy of your targeting and engaging with the right buyers with the right use cases. Mid to large-size B2B companies are undoubtedly the largest investors in AI technologies to this date.
7 Leading Up: The Neglected Competency
https://www8.gsb.columbia.edu/articles/ideas-work/leading-neglected-competency
At a recent seminar, I asked participants to define their company’s biggest barriers to success. The main impediment, they said, was their top leaders’ immunity to feedback. “They just won’t listen to new ideas, ” “They are living in yesterday’s world, ” “They think they have it all figured out and simply want us to execute.”
8 Leading in Our Uncertain Times: Be Real – Not a Hero
https://knowledge.wharton.upenn.edu/article/leading-uncertain-times-real-not-hero/
With 2020 in full swing, I wanted to sit down to try to make some predictions about the new decade. It only took a few days of headlines to show me just how foolhardy and futile this was. We are living in an era of pervasive uncertainty: Stunningly improbable events are increasingly defining the world around us. Instead of trying to predict the future, we should focus on how to thrive under these new circumstances.
9 The 5G B2B era: New horizons for advanced-electronics and industrial companies
https://www.mckinsey.com/industries/advanced-electronics/our-insights/the-5g-era-new-horizons-for-advanced-electronics-and-industrial-companies
The next generation of wireless connectivity has arrived: 5G has the capacity to support a huge number of connections simultaneously while improving speed, latency, reliability, and power consumption for handsets and Internet of Things (IoT) devices. As with the transition from 3G to 4G, there are many uncertainties. Where is the value coming from, and who is going to capture it? What are the use cases where 5G performance enhancements will generate the most value and demand? And which applications will most benefit from 5G?
10 The easiest (and least scary) way to automate your marketing
https://www.thedrum.com/opinion/2020/02/27/the-easiest-and-least-scary-way-automate-your-marketing
While marketing industry buzz tells us to expect more automation, so far, the rate of adoption has not reflected expectations. Is this because Machine has not yet reached the perfection that we demand (despite our ample room for human error)? What is it that we fear when we read about the newest automation tech on the block? Realistically, you’re not going to be replaced. Truthfully, all to be feared is that we’ll have more time on our hands to do what we’d prefer to be doing. And yet, the reluctance to automate is strong.
11 3 Digital Marketing Themes for Marketers and Retailers to Master in 2020
https://www.targetmarketingmag.com/article/digital-marketing-themes-to-master-2020/
Technology and consumer behavior are evolving quickly, and brands are challenged with keeping pace. Today’s consumers are digitally fluid and mobile-first, expecting a consistent brand experience across devices and locations. A recent study found that 49% of consumers say they frequently shop on mobile, and at least a third of consumers research online before visiting a store. At the same time, brands must address a constant stream of new data points and respond to search algorithm updates, channel activity, and industry trends, making it incredibly difficult to create an omnichannel strategy.
12 No High-Level Fluff: 7 Steps to Build the Best Target Account Model
https://www.business2community.com/strategy/no-high-level-fluff-7-steps-to-build-the-best-target-account-model-02287062
Selecting target accounts can be stressful. You worked hard to build trust across your Sales team, and now comes a project that could ruin that hard-won trust if you don’t execute it perfectly. Guess what? It is not (and never will be) perfect. This activity can’t be done in a Marketing silo. Marketing needs Sales, and Sales needs Marketing to accurately select target accounts. And don’t forget about your Customer Success team!
13 4 Ways to use Big Data in Marketing
https://bigdataanalyticsnews.com/big-data-in-marketing/
It would not be wrong to say that we are living in the golden age of access to information. The amount of data to which a common man has access to these days was never possible in the past. When you have that much data lying in front of you the possibilities are endless. You can use that data to uncover hidden truths, read patterns and find correlations.
14 How to Start Hitting Your Sales Goals Every Time
https://www.business2community.com/sales-management/how-to-start-hitting-your-sales-goals-every-time-02287061
Knowing who your customer is will drastically increase your ability to sell. The reason is that when you have a clear idea of who your customer is you will have a clear understanding of how to communicate with them.
15 Python and R Courses for Data Science
https://www.kdnuggets.com/2020/02/python-r-courses-data-science.html
Since Python and R are a must for today’s data scientists, continuous learning is paramount. Online courses are arguably the best and most flexible way to upskill throughout ones career. This list contains well-known courses that can assist anyone wanting to begin a general understanding of each language and their specialized applications.
16 Probability Distributions in Data Science
https://www.kdnuggets.com/2020/02/probability-distributions-data-science.html
Having a sound statistical background can be greatly beneficial in the daily life of a Data Scientist. Every time we start exploring a new dataset, we need to first do an Exploratory Data Analysis (EDA) in order to get a feeling of what are the main characteristics of certain features. If we are able to understand if it’s present any pattern in the data distribution, we can then tailor-made our Machine Learning models to best fit our case study.
17 Likely, unlikely, certain and impossible
https://www.datasciencecentral.com/profiles/blogs/likely-unlikely-certain-and-possibly-impossible
And therein lies the problem with terms in probability such as: likely, unlikely, certain, and impossible. Those loose definitions that mean something different not just from one layperson to the next, but from one mathematician to the next. As far as words like likely and unlikely, we can probably delete those from our probability vocabulary, because probability should never be defined in terms of being likely,
18 Moody’s downgrades auto sales forecast on virus fears
https://www.canadianmanufacturing.com/supply-chain/moodys-downgrades-auto-sales-forecast-on-virus-fears-247683/
Ratings agency Moody’s is lowering its forecast for global auto sales because of the new coronavirus outbreak.
It now reckons that sales will decline 2.5% decline in 2020 instead of only 0.9%. This year’s anticipated decline follows a fall in 2019 of 4.6%.
