1 00:00:00,880 --> 00:00:03,720 Kiliad. Connecting all the dots. 2 00:00:04,800 --> 00:00:05,620 Our software. 3 00:00:07,300 --> 00:00:10,080 Usually, when I talk to people about big data, 4 00:00:10,580 --> 00:00:14,740 a very analytic type of data, typically numbers, pops into their head first. 5 00:00:15,320 --> 00:00:17,840 This is, in fact, where big data got its start. 6 00:00:18,320 --> 00:00:20,160 It was all about numeric information. 7 00:00:20,500 --> 00:00:23,060 It was transactional, machine-generated information 8 00:00:23,060 --> 00:00:26,240 that was manipulated to find correlations and trends 9 00:00:26,240 --> 00:00:29,360 that were meaningful to highly skilled data analysts. 10 00:00:30,000 --> 00:00:33,320 But the fact is that about 80% of all data available 11 00:00:33,320 --> 00:00:34,960 falls into a whole different realm. 12 00:00:35,520 --> 00:00:37,480 Let's just call it everything else data. 13 00:00:38,100 --> 00:00:39,920 It is not the numeric information. 14 00:00:40,260 --> 00:00:42,420 It's not the kind of thing that you can put into a spreadsheet 15 00:00:42,420 --> 00:00:44,060 and run an algorithm on it. 16 00:00:44,400 --> 00:00:47,600 It's information in the form of written content, such as emails. 17 00:00:47,920 --> 00:00:48,940 It's travel information. 18 00:00:48,940 --> 00:00:50,700 It's Facebook and Twitter postings. 19 00:00:51,140 --> 00:00:52,780 It's all the unstructured content, 20 00:00:53,140 --> 00:00:55,820 just like the stuff we view every day on the web. 21 00:00:56,440 --> 00:00:59,060 What's also interesting about this everything else data 22 00:00:59,060 --> 00:01:02,420 is that 10 years ago we didn't know it would exist to be collected 23 00:01:02,420 --> 00:01:04,500 because apps like Facebook didn't exist. 24 00:01:05,020 --> 00:01:07,220 We didn't have smartphones or Twitter either. 25 00:01:07,880 --> 00:01:10,020 All of a sudden, these new information sources 26 00:01:10,020 --> 00:01:12,200 that we didn't anticipate having access to 27 00:01:12,200 --> 00:01:13,900 are not only popping up, 28 00:01:14,120 --> 00:01:16,080 but are downgrading the level of importance 29 00:01:16,080 --> 00:01:18,600 of the old content delivery channels forever, 30 00:01:19,160 --> 00:01:20,540 and at phenomenal rates. 31 00:01:20,540 --> 00:01:23,960 And so the challenge now is about how we can deal 32 00:01:23,960 --> 00:01:26,000 with both the analytic, numeric side 33 00:01:26,000 --> 00:01:28,900 and all this other type of unstructured data 34 00:01:28,900 --> 00:01:30,240 that is highly distributed. 35 00:01:31,080 --> 00:01:33,640 How we do that at the same time 36 00:01:33,640 --> 00:01:36,160 is what is unique about Gilead software. 37 00:01:37,820 --> 00:01:41,580 Three approaches are taken to reach very large amounts of data. 38 00:01:41,580 --> 00:01:45,320 First, an analyst will query one data source at a time. 39 00:01:45,940 --> 00:01:46,680 While that works, 40 00:01:46,900 --> 00:01:49,220 you now have a problem to consolidate all those queries 41 00:01:49,220 --> 00:01:50,720 into one manageable view. 42 00:01:51,440 --> 00:01:52,520 Technology can help. 43 00:01:53,260 --> 00:01:54,300 We call this federation, 44 00:01:54,560 --> 00:01:56,720 which is the merging of those separate unique results, 45 00:01:57,020 --> 00:01:58,580 but it doesn't get you over the hump 46 00:01:58,580 --> 00:01:59,980 of what you need to do next. 47 00:02:00,660 --> 00:02:02,340 Second, another common option 48 00:02:02,340 --> 00:02:04,160 is to create a new data center 49 00:02:04,160 --> 00:02:06,720 by copying all the data into one location. 50 00:02:07,220 --> 00:02:08,720 That may seem like a good idea 51 00:02:08,720 --> 00:02:10,160 as it solves a lot of problems, 52 00:02:10,400 --> 00:02:11,800 but it takes a lot of time 53 00:02:11,800 --> 00:02:13,120 and costs a lot of money 54 00:02:13,120 --> 00:02:16,500 and often exacerbates security and privacy issues. 55 00:02:17,300 --> 00:02:19,100 I have met customers that have spent years 56 00:02:19,100 --> 00:02:20,180 and millions of dollars 57 00:02:20,180 --> 00:02:22,260 just getting to the data consolidation part 58 00:02:22,260 --> 00:02:24,360 before they even start with the project. 59 00:02:24,880 --> 00:02:26,640 So there is inherent lag time 60 00:02:26,640 --> 00:02:28,380 and significant upfront costs there. 61 00:02:28,880 --> 00:02:31,580 In the meantime, productivity certainly suffers. 62 00:02:32,400 --> 00:02:35,120 The third innovative approach developed by Gilead 63 00:02:35,120 --> 00:02:37,400 is to virtually consolidate the data. 64 00:02:37,400 --> 00:02:40,620 With Gilead, you can reach all of those data types 65 00:02:40,620 --> 00:02:42,440 we described in real time. 66 00:02:43,180 --> 00:02:44,900 Gilead nodes allow you to discover 67 00:02:44,900 --> 00:02:47,300 and analyze data at its source 68 00:02:47,300 --> 00:02:49,520 within a single continuous view. 69 00:02:52,840 --> 00:02:55,560 Gilead software tames the biggest of big data, 70 00:02:56,080 --> 00:02:58,140 allowing you to find what you are looking for 71 00:02:58,140 --> 00:03:00,480 regardless of where it is or what it is. 72 00:03:01,220 --> 00:03:03,420 Within each source, data can be structured, 73 00:03:03,840 --> 00:03:05,960 as stored in the rows and columns in databases, 74 00:03:05,960 --> 00:03:07,400 or tagged on the web. 75 00:03:07,960 --> 00:03:09,200 Or it can be unstructured, 76 00:03:09,540 --> 00:03:11,780 like documents, web pages, email messages, 77 00:03:12,000 --> 00:03:13,620 Facebook and Twitter feeds. 78 00:03:14,300 --> 00:03:16,660 The data can be under your local control 79 00:03:16,660 --> 00:03:17,660 or in the cloud. 80 00:03:18,960 --> 00:03:21,180 Whether it has an application interface or not, 81 00:03:21,180 --> 00:03:23,580 Gilead software can virtually merge it 82 00:03:23,580 --> 00:03:25,480 and allow you to discover knowledge 83 00:03:25,480 --> 00:03:26,800 out of all that information 84 00:03:26,800 --> 00:03:28,940 in all of those disparate sources. 85 00:03:28,940 --> 00:03:33,560 Gilead software dynamically indexing on the fly 86 00:03:33,560 --> 00:03:35,840 generates custom recognisers 87 00:03:35,840 --> 00:03:37,120 that connect the dots 88 00:03:37,120 --> 00:03:39,180 to provide new views of the information 89 00:03:39,180 --> 00:03:40,880 that allow you to discover 90 00:03:40,880 --> 00:03:42,320 new knowledge relationships. 91 00:03:43,080 --> 00:03:45,220 Analyzing it, that's what big data 92 00:03:45,220 --> 00:03:46,560 is really all about. 93 00:03:47,400 --> 00:03:48,780 Unless you can connect the dots 94 00:03:48,780 --> 00:03:49,640 that matter to you 95 00:03:49,640 --> 00:03:51,180 in ways that make sense to you, 96 00:03:51,480 --> 00:03:52,900 it is just more data. 97 00:03:53,620 --> 00:03:56,000 Gilead learns from what you ask about the data 98 00:03:56,000 --> 00:03:57,980 in your own conversational questions. 99 00:03:58,800 --> 00:04:00,620 Unlike Boolean-based search engines, 100 00:04:01,060 --> 00:04:03,080 putting more detail into the query box 101 00:04:03,080 --> 00:04:04,960 returns more relevant results, 102 00:04:05,460 --> 00:04:06,980 not just more results. 103 00:04:07,860 --> 00:04:08,640 On top of that, 104 00:04:08,960 --> 00:04:11,140 Gilead software takes you right to the detail 105 00:04:11,140 --> 00:04:12,260 in those results 106 00:04:12,260 --> 00:04:13,580 that matters the most 107 00:04:13,580 --> 00:04:15,500 to give you even more insight, 108 00:04:16,040 --> 00:04:17,260 saving money, of course, 109 00:04:17,460 --> 00:04:19,020 but also precious time 110 00:04:19,020 --> 00:04:21,180 that can make a world of difference. 111 00:04:21,180 --> 00:04:24,540 Once you have reached, 112 00:04:24,920 --> 00:04:26,720 found and analysed your data, 113 00:04:27,400 --> 00:04:28,200 Gilead enables you 114 00:04:28,200 --> 00:04:30,200 to constantly monitor saved queries. 115 00:04:31,060 --> 00:04:33,080 The ability to monitor it all 116 00:04:33,080 --> 00:04:34,840 leverages the power of Gilead's 117 00:04:34,840 --> 00:04:35,680 global ranking 118 00:04:35,680 --> 00:04:37,760 and on-the-fly concept extraction 119 00:04:37,760 --> 00:04:39,760 to provide real-time alerting 120 00:04:39,760 --> 00:04:41,240 as information changes, 121 00:04:41,740 --> 00:04:42,780 24 hours a day, 122 00:04:43,240 --> 00:04:44,180 7 days a week. 123 00:04:45,220 --> 00:04:46,600 Gilead software's precision 124 00:04:46,600 --> 00:04:47,940 is most evident 125 00:04:47,940 --> 00:04:49,200 in this mission-critical 126 00:04:49,200 --> 00:04:50,360 alerting capability. 127 00:04:51,240 --> 00:04:52,220 Unlike other systems 128 00:04:52,220 --> 00:04:53,660 that look for keywords only, 129 00:04:54,240 --> 00:04:55,440 Gilead's natural language 130 00:04:55,440 --> 00:04:56,780 discovery functionality 131 00:04:56,780 --> 00:04:58,700 eliminates false positives. 132 00:04:59,680 --> 00:05:01,340 Setting multiple alert mechanisms, 133 00:05:01,520 --> 00:05:03,860 such as for emails and text, etc., 134 00:05:03,860 --> 00:05:04,760 further supports 135 00:05:04,760 --> 00:05:06,100 workflow classification 136 00:05:06,100 --> 00:05:08,040 or other arbitrary processes 137 00:05:08,040 --> 00:05:09,040 triggered by new 138 00:05:09,040 --> 00:05:10,460 or changed content. 139 00:05:13,440 --> 00:05:14,780 Gilead is a leader 140 00:05:14,780 --> 00:05:15,800 in data analysis 141 00:05:15,800 --> 00:05:16,680 across clouds, 142 00:05:16,920 --> 00:05:17,960 agencies, departments 143 00:05:17,960 --> 00:05:19,320 and other stovepipes. 144 00:05:19,320 --> 00:05:21,900 The Gilead Discovery Alert platform 145 00:05:21,900 --> 00:05:23,240 enables investigators, 146 00:05:23,500 --> 00:05:24,320 business analysts 147 00:05:24,320 --> 00:05:26,240 and indeed any knowledge worker 148 00:05:26,240 --> 00:05:27,680 to securely reach, 149 00:05:27,980 --> 00:05:28,980 find, analyse 150 00:05:28,980 --> 00:05:30,800 and continuously stay on top 151 00:05:30,800 --> 00:05:31,540 of big data, 152 00:05:31,920 --> 00:05:33,400 whether structured or unstructured, 153 00:05:33,900 --> 00:05:35,400 classified or unclassified. 154 00:05:36,080 --> 00:05:37,300 Through virtual consolidation 155 00:05:37,300 --> 00:05:38,000 of data, 156 00:05:38,460 --> 00:05:39,700 Gilead helps its clients 157 00:05:39,700 --> 00:05:41,720 to further their knowledge discovery goals 158 00:05:41,720 --> 00:05:43,220 with iterative discovery 159 00:05:43,220 --> 00:05:44,620 on any information, 160 00:05:45,080 --> 00:05:45,420 anywhere. 161 00:05:45,420 --> 00:05:47,200 Gilead's vision 162 00:05:47,200 --> 00:05:48,660 is to power the discovery 163 00:05:48,660 --> 00:05:49,960 of actionable insight 164 00:05:49,960 --> 00:05:50,940 for a better, 165 00:05:51,300 --> 00:05:52,080 safer world. 166 00:05:52,800 --> 00:05:53,500 Gilead's mission 167 00:05:53,500 --> 00:05:55,360 is to enable knowledge sharing 168 00:05:55,360 --> 00:05:57,020 without information sharing 169 00:05:57,020 --> 00:05:59,240 through real-time iterative discovery 170 00:05:59,240 --> 00:06:00,660 and analysis technologies 171 00:06:00,660 --> 00:06:02,320 to rapidly solve 172 00:06:02,320 --> 00:06:04,760 real-world complex problems. 173 00:06:04,760 --> 00:06:11,160 Find out more 174 00:06:11,160 --> 00:06:15,420 at www.gilead.com 175 00:06:15,420 --> 00:06:17,420 and acknowledge 176 00:06:17,420 --> 00:06:18,400 from someone 177 00:06:18,400 --> 00:06:20,400 You